TCIA_MedImageTools.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "You can download and run this notebook locally, or you can run it for free in a cloud environment using Colab or Sagemaker Studio Lab:\n",
        "\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kirbyju/TCIA_Notebooks/blob/main/TCIA_MedImageTools.ipynb)\n",
        "\n",
        "[![Open In SageMaker Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github.com/kirbyju/TCIA_Notebooks/blob/main/TCIA_MedImageTools.ipynb)"
      ],
      "metadata": {
        "id": "j-yAt5KEzCvs"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VgK47CM2yowd"
      },
      "source": [
        "# Background\n",
        "This notebook is designed to showcase the core functionalities of Med-ImageTools using datasets from The Cancer Imaging Archive (TCIA). The notebook will guide you through the following steps:\n",
        "\n",
        "1. Installing [Med-ImageTools](https://pypi.org/project/med-imagetools/) and [tcia_utils](https://pypi.org/project/tcia-utils/)\n",
        "2. Downloading and processing a sample TCIA dataset using `AutoPipeline` for deep learning segmentation\n",
        "   \n",
        "   i. Understanding outputs from `AutoPipeline` for segmentation\n",
        "   \n",
        "   ii. Understanding full outputs from `AutoPipeline`\n",
        "   \n",
        "3. Processing a sample TCIA dataset using `AutoPipeline` with radiotherapy data"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1 Setup:  Installing Med-ImageTolls and tcia_utils\n",
        "Med-ImageTools and tcia_utils are available on PyPI and can be installed using pip."
      ],
      "metadata": {
        "id": "b9xVcNo4RMuS"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9jbsMuggyowf",
        "outputId": "3fd82425-45a9-4374-fce0-7183fdaeb10a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m89.9/89.9 kB\u001b[0m \u001b[31m1.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.5/77.5 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.3/8.3 MB\u001b[0m \u001b[31m26.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.1/13.1 MB\u001b[0m \u001b[31m34.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.7/14.7 MB\u001b[0m \u001b[31m21.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m52.4/52.4 MB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "cudf-cu12 24.4.1 requires pandas<2.2.2dev0,>=2.0, but you have pandas 2.2.3 which is incompatible.\n",
            "google-colab 1.0.0 requires pandas==2.1.4, but you have pandas 2.2.3 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m235.5/235.5 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m117.7/117.7 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "import sys\n",
        "\n",
        "# install tcia utils\n",
        "!{sys.executable} -m pip install --upgrade -q med-imagetools\n",
        "!{sys.executable} -m pip install --upgrade -q tcia_utils\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "import pandas as pd\n",
        "import os\n",
        "import imgtools\n",
        "from tcia_utils import nbia\n",
        "\n",
        "# set logging level to INFO in Google Colab (not necessary in Jupyter)\n",
        "if 'google.colab' in sys.modules:\n",
        "  import logging\n",
        "\n",
        "  for handler in logging.root.handlers[:]:\n",
        "      logging.root.removeHandler(handler)\n",
        "\n",
        "  # Set handler with level = info\n",
        "  logging.basicConfig(format='%(asctime)s:%(levelname)s:%(message)s',\n",
        "                      level=logging.INFO)\n",
        "\n",
        "  print(\"Google Colab Logging set to INFO\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6l85R2Ri0DSr",
        "outputId": "45ebe7f7-40a1-4a23-c1f0-70fad99cfde5"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Google Colab Logging set to INFO\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-pQwWqYnyowf"
      },
      "source": [
        "# 2 Downloading and processing a sample TCIA dataset using `AutoPipeline` for deep learning segmentation\n",
        "\n",
        "We're going to start off by downloading some sample data and then telling AutoPipeline where to find and save data.\n",
        "\n",
        "For this example, let's assume you've already spent some time [browsing the data on TCIA](https://www.cancerimagingarchive.net/access-data) and decided that you're interested in working with the [Pancreatic-CT-CBCT-SEG](https://doi.org/10.7937/TCIA.ESHQ-4D90) collection.  \n",
        "\n",
        "**Note:** If you're interested in learning more about the functionality of **tcia_utils** for querying and downloading data please check out https://github.com/kirbyju/TCIA_Notebooks for a more thorough explanation.  "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# download series metadata for the Pancreatic-CT-CBCT-SEG collection\n",
        "series = nbia.getSeries(\"Pancreatic-CT-CBCT-SEG\", format = \"df\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0oFFT24t27xs",
        "outputId": "870e6de6-fd01-456b-ef3d-eea447830416"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "2024-09-24 04:34:18,133:INFO:Success - Token saved to api_call_headers variable and expires at 2024-09-24 06:34:18.133528\n",
            "2024-09-24 04:34:18,137:INFO:Accessing public data anonymously. To access restricted data use nbia.getToken() with your credentials.\n",
            "2024-09-24 04:34:18,141:INFO:Calling getSeries with parameters {'Collection': 'Pancreatic-CT-CBCT-SEG'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# sort the 'series' dataframe by PatientID\n",
        "series_sorted = series.sort_values('PatientID')\n",
        "\n",
        "# get the first 3 unique PatientIDs\n",
        "first_3_ids = series_sorted['PatientID'].unique()[:3]\n",
        "\n",
        "# filter the dataframe to include only rows for the first 3 PatientIDs\n",
        "sample_series = series_sorted[series_sorted['PatientID'].isin(first_3_ids)]\n",
        "\n",
        "sample_series"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "qDjDaD7d4bBO",
        "outputId": "a8181c05-2bbb-4ea6-a17b-11b804651583"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                     SeriesInstanceUID  \\\n",
              "285  1.3.6.1.4.1.14519.5.2.1.3094364563653665937958...   \n",
              "241  1.3.6.1.4.1.14519.5.2.1.1873504185020096547520...   \n",
              "108  1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...   \n",
              "216  1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...   \n",
              "83   1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...   \n",
              "116  1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...   \n",
              "26   1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...   \n",
              "123  1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...   \n",
              "339  1.3.6.1.4.1.14519.5.2.1.2452239859660614261024...   \n",
              "250  1.3.6.1.4.1.14519.5.2.1.4539053103052673453496...   \n",
              "208  1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...   \n",
              "125  1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...   \n",
              "351  1.3.6.1.4.1.14519.5.2.1.3214919025494098598614...   \n",
              "61   1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...   \n",
              "269  1.3.6.1.4.1.14519.5.2.1.6512363249234457542274...   \n",
              "186  1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...   \n",
              "52   1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...   \n",
              "95   1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...   \n",
              "365  1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...   \n",
              "353  1.3.6.1.4.1.14519.5.2.1.2543830093577747739677...   \n",
              "21   1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...   \n",
              "202  1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...   \n",
              "200  1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...   \n",
              "251  1.3.6.1.4.1.14519.5.2.1.1692393728185354265794...   \n",
              "4    1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...   \n",
              "48   1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...   \n",
              "152  1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...   \n",
              "292  1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...   \n",
              "\n",
              "                                      StudyInstanceUID  Modality  \\\n",
              "285  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...        CT   \n",
              "241  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...        CT   \n",
              "108  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...        CT   \n",
              "216  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...  RTSTRUCT   \n",
              "83   1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...        CT   \n",
              "116  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...  RTSTRUCT   \n",
              "26   1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...        CT   \n",
              "123  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...  RTSTRUCT   \n",
              "339  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...    RTDOSE   \n",
              "250  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...        CT   \n",
              "208  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...  RTSTRUCT   \n",
              "125  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...  RTSTRUCT   \n",
              "351  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...    RTDOSE   \n",
              "61   1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...        CT   \n",
              "269  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...        CT   \n",
              "186  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...  RTSTRUCT   \n",
              "52   1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...        CT   \n",
              "95   1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...        CT   \n",
              "365  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...  RTSTRUCT   \n",
              "353  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...    RTDOSE   \n",
              "21   1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...        CT   \n",
              "202  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...  RTSTRUCT   \n",
              "200  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...  RTSTRUCT   \n",
              "251  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...        CT   \n",
              "4    1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...        CT   \n",
              "48   1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...        CT   \n",
              "152  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...  RTSTRUCT   \n",
              "292  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...        CT   \n",
              "\n",
              "                SeriesDate        SeriesDescription BodyPartExamined  \\\n",
              "285  2012-07-19 00:00:00.0                      NaN          ABDOMEN   \n",
              "241  2012-07-28 00:00:00.0                      NaN          ABDOMEN   \n",
              "108  2012-07-06 00:00:00.0   PANCREAS DI, iDose (3)            CHEST   \n",
              "216  2015-11-12 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "83   2012-07-19 00:00:00.0   Aligned resampled CB02          ABDOMEN   \n",
              "116  2015-11-09 00:00:00.0      BSPC_LL_LR_ROI_SDPC          ABDOMEN   \n",
              "26   2012-07-28 00:00:00.0             Aligned CB07          ABDOMEN   \n",
              "123  2015-11-13 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "339  2012-07-13 00:00:00.0            Eclipse Doses          ABDOMEN   \n",
              "250  2012-06-08 00:00:00.0                      NaN          ABDOMEN   \n",
              "208  2015-11-15 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "125  2015-11-15 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "351  2012-05-28 00:00:00.0            Eclipse Doses          ABDOMEN   \n",
              "61   2012-06-14 00:00:00.0               Aligned CT          ABDOMEN   \n",
              "269  2012-06-14 00:00:00.0                      NaN          ABDOMEN   \n",
              "186  2015-11-14 00:00:00.0      BSPC_LL_LR_ROI_SDPC          ABDOMEN   \n",
              "52   2012-06-08 00:00:00.0           Aligned CBCT01          ABDOMEN   \n",
              "95   2012-05-19 00:00:00.0          DIBH, iDose (3)            CHEST   \n",
              "365  2016-11-02 00:00:00.0  BSO1_BSO2_ROI_SDO1_SDO2          ABDOMEN   \n",
              "353  2012-01-20 00:00:00.0            Eclipse Doses          ABDOMEN   \n",
              "21   2012-02-11 00:00:00.0               Aligned CT          ABDOMEN   \n",
              "202  2015-11-23 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "200  2015-11-23 00:00:00.0          BSCB_LL_LR_SDCB          ABDOMEN   \n",
              "251  2012-02-18 00:00:00.0                      NaN          ABDOMEN   \n",
              "4    2012-01-20 00:00:00.0                       DI          ABDOMEN   \n",
              "48   2012-02-18 00:00:00.0               Aligned CT          ABDOMEN   \n",
              "152  2015-11-16 00:00:00.0      BSPC_LL_LR_ROI_SDPC          ABDOMEN   \n",
              "292  2012-02-11 00:00:00.0                      NaN          ABDOMEN   \n",
              "\n",
              "     SeriesNumber              Collection           PatientID  \\\n",
              "285             5  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "241             8  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "108           201  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "216             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "83          56094  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "116             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "26          46049  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "123             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "339           321  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_001   \n",
              "250            12  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "208             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "125             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "351           307  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "61          62847  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "269             6  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "186             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "52          45891  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "95            301  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_002   \n",
              "365             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "353            16  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "21          55134  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "202             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "200             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "251             4  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "4               2  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "48          35383  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "152             1  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "292             5  Pancreatic-CT-CBCT-SEG  Pancreas-CT-CB_003   \n",
              "\n",
              "                              Manufacturer  ... ImageCount  \\\n",
              "285                 Varian Medical Systems  ...         93   \n",
              "241                 Varian Medical Systems  ...         93   \n",
              "108                                Philips  ...        134   \n",
              "216                      MIM Software Inc.  ...          1   \n",
              "83   Varian Medical Systems / MIM Software  ...        134   \n",
              "116                      MIM Software Inc.  ...          1   \n",
              "26   Varian Medical Systems / MIM Software  ...        134   \n",
              "123                      MIM Software Inc.  ...          1   \n",
              "339                 Varian Medical Systems  ...          1   \n",
              "250                 Varian Medical Systems  ...         88   \n",
              "208                      MIM Software Inc.  ...          1   \n",
              "125                      MIM Software Inc.  ...          1   \n",
              "351                 Varian Medical Systems  ...          1   \n",
              "61   Varian Medical Systems / MIM Software  ...        228   \n",
              "269                 Varian Medical Systems  ...         88   \n",
              "186                      MIM Software Inc.  ...          1   \n",
              "52   Varian Medical Systems / MIM Software  ...        228   \n",
              "95                                 Philips  ...        228   \n",
              "365                      MIM Software Inc.  ...          1   \n",
              "353                 Varian Medical Systems  ...          1   \n",
              "21   Varian Medical Systems / MIM Software  ...         93   \n",
              "202                      MIM Software Inc.  ...          1   \n",
              "200                      MIM Software Inc.  ...          1   \n",
              "251                 Varian Medical Systems  ...         88   \n",
              "4                                  Philips  ...         93   \n",
              "48   Varian Medical Systems / MIM Software  ...         93   \n",
              "152                      MIM Software Inc.  ...          1   \n",
              "292                 Varian Medical Systems  ...         88   \n",
              "\n",
              "                 TimeStamp                                        LicenseName  \\\n",
              "285  2022-08-11 13:02:12.0  Creative Commons Attribution 4.0 International...   \n",
              "241  2022-08-11 13:02:19.0  Creative Commons Attribution 4.0 International...   \n",
              "108  2021-09-16 12:49:02.0  Creative Commons Attribution 4.0 International...   \n",
              "216  2021-09-16 12:42:59.0  Creative Commons Attribution 4.0 International...   \n",
              "83   2021-09-16 12:48:25.0  Creative Commons Attribution 4.0 International...   \n",
              "116  2021-09-16 12:18:00.0  Creative Commons Attribution 4.0 International...   \n",
              "26   2021-09-16 12:49:14.0  Creative Commons Attribution 4.0 International...   \n",
              "123  2021-09-16 12:19:18.0  Creative Commons Attribution 4.0 International...   \n",
              "339  2022-08-11 12:48:59.0  Creative Commons Attribution 4.0 International...   \n",
              "250  2022-08-11 13:02:10.0  Creative Commons Attribution 4.0 International...   \n",
              "208  2021-09-16 12:40:54.0  Creative Commons Attribution 4.0 International...   \n",
              "125  2021-09-16 12:19:39.0  Creative Commons Attribution 4.0 International...   \n",
              "351  2022-08-11 12:59:11.0  Creative Commons Attribution 4.0 International...   \n",
              "61   2021-09-16 12:49:05.0  Creative Commons Attribution 4.0 International...   \n",
              "269  2022-08-11 13:02:22.0  Creative Commons Attribution 4.0 International...   \n",
              "186  2021-09-16 12:37:00.0  Creative Commons Attribution 4.0 International...   \n",
              "52   2021-09-16 12:48:57.0  Creative Commons Attribution 4.0 International...   \n",
              "95   2021-09-16 12:49:04.0  Creative Commons Attribution 4.0 International...   \n",
              "365  2022-08-11 12:52:10.0  Creative Commons Attribution 4.0 International...   \n",
              "353  2022-08-11 12:59:29.0  Creative Commons Attribution 4.0 International...   \n",
              "21   2021-09-16 12:48:53.0  Creative Commons Attribution 4.0 International...   \n",
              "202  2021-09-16 12:39:47.0  Creative Commons Attribution 4.0 International...   \n",
              "200  2021-09-16 12:39:38.0  Creative Commons Attribution 4.0 International...   \n",
              "251  2022-08-11 13:02:21.0  Creative Commons Attribution 4.0 International...   \n",
              "4    2021-09-16 12:48:12.0  Creative Commons Attribution 4.0 International...   \n",
              "48   2021-09-16 12:48:57.0  Creative Commons Attribution 4.0 International...   \n",
              "152  2021-09-16 12:28:07.0  Creative Commons Attribution 4.0 International...   \n",
              "292  2022-08-11 13:02:22.0  Creative Commons Attribution 4.0 International...   \n",
              "\n",
              "                                       LicenseURI  \\\n",
              "285  https://creativecommons.org/licenses/by/4.0/   \n",
              "241  https://creativecommons.org/licenses/by/4.0/   \n",
              "108  https://creativecommons.org/licenses/by/4.0/   \n",
              "216  https://creativecommons.org/licenses/by/4.0/   \n",
              "83   https://creativecommons.org/licenses/by/4.0/   \n",
              "116  https://creativecommons.org/licenses/by/4.0/   \n",
              "26   https://creativecommons.org/licenses/by/4.0/   \n",
              "123  https://creativecommons.org/licenses/by/4.0/   \n",
              "339  https://creativecommons.org/licenses/by/4.0/   \n",
              "250  https://creativecommons.org/licenses/by/4.0/   \n",
              "208  https://creativecommons.org/licenses/by/4.0/   \n",
              "125  https://creativecommons.org/licenses/by/4.0/   \n",
              "351  https://creativecommons.org/licenses/by/4.0/   \n",
              "61   https://creativecommons.org/licenses/by/4.0/   \n",
              "269  https://creativecommons.org/licenses/by/4.0/   \n",
              "186  https://creativecommons.org/licenses/by/4.0/   \n",
              "52   https://creativecommons.org/licenses/by/4.0/   \n",
              "95   https://creativecommons.org/licenses/by/4.0/   \n",
              "365  https://creativecommons.org/licenses/by/4.0/   \n",
              "353  https://creativecommons.org/licenses/by/4.0/   \n",
              "21   https://creativecommons.org/licenses/by/4.0/   \n",
              "202  https://creativecommons.org/licenses/by/4.0/   \n",
              "200  https://creativecommons.org/licenses/by/4.0/   \n",
              "251  https://creativecommons.org/licenses/by/4.0/   \n",
              "4    https://creativecommons.org/licenses/by/4.0/   \n",
              "48   https://creativecommons.org/licenses/by/4.0/   \n",
              "152  https://creativecommons.org/licenses/by/4.0/   \n",
              "292  https://creativecommons.org/licenses/by/4.0/   \n",
              "\n",
              "                              CollectionURI   FileSize           DateReleased  \\\n",
              "285  https://doi.org/10.7937/TCIA.ESHQ-4D90   48997226  2022-08-23 00:00:00.0   \n",
              "241  https://doi.org/10.7937/TCIA.ESHQ-4D90   49000938  2022-08-23 00:00:00.0   \n",
              "108  https://doi.org/10.7937/TCIA.ESHQ-4D90   70579828  2021-09-16 12:49:02.0   \n",
              "216  https://doi.org/10.7937/TCIA.ESHQ-4D90    2374672  2021-09-16 12:42:59.0   \n",
              "83   https://doi.org/10.7937/TCIA.ESHQ-4D90   70603434  2021-09-16 12:48:25.0   \n",
              "116  https://doi.org/10.7937/TCIA.ESHQ-4D90    3265634  2021-09-16 12:18:00.0   \n",
              "26   https://doi.org/10.7937/TCIA.ESHQ-4D90   70602134  2021-09-16 12:49:14.0   \n",
              "123  https://doi.org/10.7937/TCIA.ESHQ-4D90    2384336  2021-09-16 12:19:18.0   \n",
              "339  https://doi.org/10.7937/TCIA.ESHQ-4D90   96955372  2022-08-23 00:00:00.0   \n",
              "250  https://doi.org/10.7937/TCIA.ESHQ-4D90   46366390  2022-08-23 00:00:00.0   \n",
              "208  https://doi.org/10.7937/TCIA.ESHQ-4D90    6536160  2021-09-16 12:40:54.0   \n",
              "125  https://doi.org/10.7937/TCIA.ESHQ-4D90    6251628  2021-09-16 12:19:39.0   \n",
              "351  https://doi.org/10.7937/TCIA.ESHQ-4D90  122596758  2022-08-23 00:00:00.0   \n",
              "61   https://doi.org/10.7937/TCIA.ESHQ-4D90  120127498  2021-09-16 12:49:05.0   \n",
              "269  https://doi.org/10.7937/TCIA.ESHQ-4D90   46370080  2022-08-23 00:00:00.0   \n",
              "186  https://doi.org/10.7937/TCIA.ESHQ-4D90    6705530  2021-09-16 12:37:00.0   \n",
              "52   https://doi.org/10.7937/TCIA.ESHQ-4D90  120128450  2021-09-16 12:48:57.0   \n",
              "95   https://doi.org/10.7937/TCIA.ESHQ-4D90  120091456  2021-09-16 12:49:04.0   \n",
              "365  https://doi.org/10.7937/TCIA.ESHQ-4D90    2186342  2022-08-23 00:00:00.0   \n",
              "353  https://doi.org/10.7937/TCIA.ESHQ-4D90   13825776  2022-08-23 00:00:00.0   \n",
              "21   https://doi.org/10.7937/TCIA.ESHQ-4D90   48997840  2021-09-16 12:48:53.0   \n",
              "202  https://doi.org/10.7937/TCIA.ESHQ-4D90    1994514  2021-09-16 12:39:47.0   \n",
              "200  https://doi.org/10.7937/TCIA.ESHQ-4D90    1979352  2021-09-16 12:39:38.0   \n",
              "251  https://doi.org/10.7937/TCIA.ESHQ-4D90   46373448  2022-08-23 00:00:00.0   \n",
              "4    https://doi.org/10.7937/TCIA.ESHQ-4D90   48977358  2021-09-16 12:48:12.0   \n",
              "48   https://doi.org/10.7937/TCIA.ESHQ-4D90   48997868  2021-09-16 12:48:57.0   \n",
              "152  https://doi.org/10.7937/TCIA.ESHQ-4D90    2314196  2021-09-16 12:28:07.0   \n",
              "292  https://doi.org/10.7937/TCIA.ESHQ-4D90   46364478  2022-08-23 00:00:00.0   \n",
              "\n",
              "                   StudyDesc              StudyDate ThirdPartyAnalysis  \n",
              "285                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "241                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "108                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "216                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "83                  PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "116                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "26                  PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "123                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "339                 PANCREAS  2012-07-06 00:00:00.0                 NO  \n",
              "250  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "208  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "125  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "351  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "61   Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "269  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "186  Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "52   Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "95   Pancreas/Liver DIBH 2mm  2012-05-19 00:00:00.0                 NO  \n",
              "365                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "353                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "21                  PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "202                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "200                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "251                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "4                   PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "48                  PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "152                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "292                 PANCREAS  2012-01-15 00:00:00.0                 NO  \n",
              "\n",
              "[28 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-262ff611-5bff-4ab9-aa0c-2fc771c90b16\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SeriesInstanceUID</th>\n",
              "      <th>StudyInstanceUID</th>\n",
              "      <th>Modality</th>\n",
              "      <th>SeriesDate</th>\n",
              "      <th>SeriesDescription</th>\n",
              "      <th>BodyPartExamined</th>\n",
              "      <th>SeriesNumber</th>\n",
              "      <th>Collection</th>\n",
              "      <th>PatientID</th>\n",
              "      <th>Manufacturer</th>\n",
              "      <th>...</th>\n",
              "      <th>ImageCount</th>\n",
              "      <th>TimeStamp</th>\n",
              "      <th>LicenseName</th>\n",
              "      <th>LicenseURI</th>\n",
              "      <th>CollectionURI</th>\n",
              "      <th>FileSize</th>\n",
              "      <th>DateReleased</th>\n",
              "      <th>StudyDesc</th>\n",
              "      <th>StudyDate</th>\n",
              "      <th>ThirdPartyAnalysis</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>285</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3094364563653665937958...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-07-19 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>5</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>93</td>\n",
              "      <td>2022-08-11 13:02:12.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>48997226</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1873504185020096547520...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-07-28 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>8</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>93</td>\n",
              "      <td>2022-08-11 13:02:19.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>49000938</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>PANCREAS DI, iDose (3)</td>\n",
              "      <td>CHEST</td>\n",
              "      <td>201</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Philips</td>\n",
              "      <td>...</td>\n",
              "      <td>134</td>\n",
              "      <td>2021-09-16 12:49:02.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>70579828</td>\n",
              "      <td>2021-09-16 12:49:02.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>216</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-12 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:42:59.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>2374672</td>\n",
              "      <td>2021-09-16 12:42:59.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-07-19 00:00:00.0</td>\n",
              "      <td>Aligned resampled CB02</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>56094</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>134</td>\n",
              "      <td>2021-09-16 12:48:25.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>70603434</td>\n",
              "      <td>2021-09-16 12:48:25.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-09 00:00:00.0</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:18:00.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>3265634</td>\n",
              "      <td>2021-09-16 12:18:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-07-28 00:00:00.0</td>\n",
              "      <td>Aligned CB07</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>46049</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>134</td>\n",
              "      <td>2021-09-16 12:49:14.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>70602134</td>\n",
              "      <td>2021-09-16 12:49:14.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-13 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:19:18.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>2384336</td>\n",
              "      <td>2021-09-16 12:19:18.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>339</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2452239859660614261024...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>2012-07-13 00:00:00.0</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>321</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2022-08-11 12:48:59.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>96955372</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-07-06 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.4539053103052673453496...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-06-08 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>12</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>88</td>\n",
              "      <td>2022-08-11 13:02:10.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>46366390</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-15 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:40:54.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>6536160</td>\n",
              "      <td>2021-09-16 12:40:54.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-15 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:19:39.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>6251628</td>\n",
              "      <td>2021-09-16 12:19:39.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>351</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3214919025494098598614...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>2012-05-28 00:00:00.0</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>307</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2022-08-11 12:59:11.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>122596758</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-06-14 00:00:00.0</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>62847</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>228</td>\n",
              "      <td>2021-09-16 12:49:05.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>120127498</td>\n",
              "      <td>2021-09-16 12:49:05.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>269</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6512363249234457542274...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-06-14 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>6</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>88</td>\n",
              "      <td>2022-08-11 13:02:22.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>46370080</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-14 00:00:00.0</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:37:00.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>6705530</td>\n",
              "      <td>2021-09-16 12:37:00.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-06-08 00:00:00.0</td>\n",
              "      <td>Aligned CBCT01</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>45891</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>228</td>\n",
              "      <td>2021-09-16 12:48:57.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>120128450</td>\n",
              "      <td>2021-09-16 12:48:57.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>DIBH, iDose (3)</td>\n",
              "      <td>CHEST</td>\n",
              "      <td>301</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>Philips</td>\n",
              "      <td>...</td>\n",
              "      <td>228</td>\n",
              "      <td>2021-09-16 12:49:04.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>120091456</td>\n",
              "      <td>2021-09-16 12:49:04.0</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>2012-05-19 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>365</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2016-11-02 00:00:00.0</td>\n",
              "      <td>BSO1_BSO2_ROI_SDO1_SDO2</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2022-08-11 12:52:10.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>2186342</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>353</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2543830093577747739677...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>2012-01-20 00:00:00.0</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>16</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2022-08-11 12:59:29.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>13825776</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-02-11 00:00:00.0</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>55134</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>93</td>\n",
              "      <td>2021-09-16 12:48:53.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>48997840</td>\n",
              "      <td>2021-09-16 12:48:53.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-23 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:39:47.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>1994514</td>\n",
              "      <td>2021-09-16 12:39:47.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>200</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-23 00:00:00.0</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:39:38.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>1979352</td>\n",
              "      <td>2021-09-16 12:39:38.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>251</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1692393728185354265794...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-02-18 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>4</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>88</td>\n",
              "      <td>2022-08-11 13:02:21.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>46373448</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-01-20 00:00:00.0</td>\n",
              "      <td>DI</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>2</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Philips</td>\n",
              "      <td>...</td>\n",
              "      <td>93</td>\n",
              "      <td>2021-09-16 12:48:12.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>48977358</td>\n",
              "      <td>2021-09-16 12:48:12.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-02-18 00:00:00.0</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>35383</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Varian Medical Systems / MIM Software</td>\n",
              "      <td>...</td>\n",
              "      <td>93</td>\n",
              "      <td>2021-09-16 12:48:57.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>48997868</td>\n",
              "      <td>2021-09-16 12:48:57.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>2015-11-16 00:00:00.0</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>1</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>MIM Software Inc.</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-09-16 12:28:07.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>2314196</td>\n",
              "      <td>2021-09-16 12:28:07.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>292</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>CT</td>\n",
              "      <td>2012-02-11 00:00:00.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>5</td>\n",
              "      <td>Pancreatic-CT-CBCT-SEG</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>Varian Medical Systems</td>\n",
              "      <td>...</td>\n",
              "      <td>88</td>\n",
              "      <td>2022-08-11 13:02:22.0</td>\n",
              "      <td>Creative Commons Attribution 4.0 International...</td>\n",
              "      <td>https://creativecommons.org/licenses/by/4.0/</td>\n",
              "      <td>https://doi.org/10.7937/TCIA.ESHQ-4D90</td>\n",
              "      <td>46364478</td>\n",
              "      <td>2022-08-23 00:00:00.0</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>2012-01-15 00:00:00.0</td>\n",
              "      <td>NO</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>28 rows × 22 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-262ff611-5bff-4ab9-aa0c-2fc771c90b16')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-262ff611-5bff-4ab9-aa0c-2fc771c90b16 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-262ff611-5bff-4ab9-aa0c-2fc771c90b16');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7410ce81-3542-4658-97d8-f12da4519fe8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7410ce81-3542-4658-97d8-f12da4519fe8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7410ce81-3542-4658-97d8-f12da4519fe8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_1db150b5-f3ce-4f0b-bff8-bdc13c7886de\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sample_series')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_1db150b5-f3ce-4f0b-bff8-bdc13c7886de button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sample_series');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sample_series"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Download the data\n",
        "nbia.downloadSeries(sample_series, path=\"tciaDownload/data\", input_type = \"df\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VoCJY_uA4IgJ",
        "outputId": "a36c10b5-c81f-4b6f-8497-1e5e4a50e80e"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "2024-09-24 04:34:20,969:INFO:Downloading 28 out of 28 Series Instance UIDs (scans).\n",
            "2024-09-24 04:34:20,976:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.309436456365366593795854640412150952125\n",
            "2024-09-24 04:34:27,542:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.187350418502009654752055781793285464352\n",
            "2024-09-24 04:34:32,304:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.302382790855582445722435410442490497846\n",
            "2024-09-24 04:34:40,573:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.298217041989287527322718266582029491750\n",
            "2024-09-24 04:34:41,961:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.309068640667281565465902342765215339781\n",
            "2024-09-24 04:34:47,044:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.18138783555294854291858006605381019315\n",
            "2024-09-24 04:34:47,712:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.102707224473370231899962923249595911866\n",
            "2024-09-24 04:34:52,456:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.281766392102097972832596863673530927748\n",
            "2024-09-24 04:34:53,051:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.245223985966061426102494958781347594184\n",
            "2024-09-24 04:35:01,055:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.45390531030526734534964262249109671823\n",
            "2024-09-24 04:35:05,993:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.176810671082399641013453331243262526318\n",
            "2024-09-24 04:35:06,780:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.212919081796384608798840571893205560128\n",
            "2024-09-24 04:35:07,632:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.321491902549409859861459418486527666036\n",
            "2024-09-24 04:35:16,376:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.111685198895054384171918557453273814133\n",
            "2024-09-24 04:35:25,047:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.65123632492344575422740561717468312145\n",
            "2024-09-24 04:35:30,855:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.211413750858463195788205974126179925859\n",
            "2024-09-24 04:35:31,574:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.132472853071768744666112351213343349651\n",
            "2024-09-24 04:35:39,184:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.105817730941087902440053709129426931781\n",
            "2024-09-24 04:35:54,067:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.76967489462799777003288235440512064258\n",
            "2024-09-24 04:35:54,576:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.254383009357774773967789508298113206602\n",
            "2024-09-24 04:35:56,084:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.100441133786917967089614568139647703300\n",
            "2024-09-24 04:35:59,753:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.169396801659833008459761814635105006655\n",
            "2024-09-24 04:36:00,264:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.76164879066619966206996099905002109310\n",
            "2024-09-24 04:36:00,920:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.169239372818535426579408764956741880280\n",
            "2024-09-24 04:36:06,631:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.95666825359284422567602275085312687802\n",
            "2024-09-24 04:36:12,819:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.176764454955551222828043022685332461546\n",
            "2024-09-24 04:36:16,346:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.104384649528093696171640781090238710550\n",
            "2024-09-24 04:36:16,907:INFO:Downloading... https://services.cancerimagingarchive.net/nbia-api/services/v2/getImage?NewFileNames=Yes&SeriesInstanceUID=1.3.6.1.4.1.14519.5.2.1.6161518552827897770510214099019847663\n",
            "2024-09-24 04:36:21,797:INFO:Downloaded 28 out of 28 Series Instance UIDs (scans).\n",
            "0 failed to download.\n",
            "0 previously downloaded.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "20Lsq-81yowf"
      },
      "source": [
        "### AutoPipeline dry-run\n",
        "Now let's dry-run AutoPipeline to understand it's crawl functionality.  \n",
        "We'll use the same command, but add the **--dry-run** flag to see what it would do without actually running it."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "NwtJ2kEvyowf"
      },
      "outputs": [],
      "source": [
        "INPUT_PATH  =\"tciaDownload\"\n",
        "OUTPUT_PATH =\"autoPipeline\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tqHpxAzlyowg",
        "outputId": "22f68ef7-7010-495a-a198-171893d3c90e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "initializing AutoPipeline...\n",
            "Indexing the dataset...\n",
            "\r  0% 0/1 [00:00<?, ?it/s]\r100% 1/1 [00:00<00:00, 62.51it/s]\n",
            "Number of patients in the dataset: 3\n",
            "Edge table not present. Forming the edge table based on the crawl data...\n",
            "\n",
            "Total time taken: 0.03749489784240723\n",
            "Saving edge table in /content/.imgtools/imgtools_tciaDownload_edges.csv\n",
            "Forming the graph based on the given modalities: CT,RTSTRUCT\n",
            "/usr/local/lib/python3.10/dist-packages/imgtools/modules/datagraph.py:404: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n",
            "  relevant_study_id = self.df_new.loc[(self.df_new.edge_type.str.contains(regex_term)), \"study_x\"].unique()\n",
            "There are 10 cases containing all CT,RTSTRUCT modalities.\n",
            "dry run complete, no processing done\n",
            "Outputted data to autoPipeline\n",
            "Dataset info found at autoPipeline/dataset.csv\n"
          ]
        }
      ],
      "source": [
        "!autopipeline \\\n",
        "     $INPUT_PATH \\\n",
        "     $OUTPUT_PATH \\\n",
        "     --modalities CT,RTSTRUCT \\\n",
        "     --n_jobs 4 \\\n",
        "     --dry_run"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P6HBO6n4yowg"
      },
      "source": [
        "Running `AutoPipeline` creates a `.imgtools` folder in the dataset's parent directory.\n",
        "\n",
        "```\n",
        "parent_folder\n",
        "└───.imgtools\n",
        "│   ├── imgtools_dataset.csv\n",
        "│   ├── imgtools_dataset.json\n",
        "│   └── imgtools_dataset_edges.csv\n",
        "│\n",
        "└───dataset\n",
        "    ├── patient-001\n",
        "    ├── patient-002\n",
        "    ...\n",
        "```\n",
        "\n",
        "There are three files in the `.imgtools` folder:\n",
        "\n",
        "* `imgtools_dataset.csv` contains the metadata for the dataset\n",
        "* `imgtools_dataset.json` contains the metadata for the dataset in JSON format\n",
        "* `imgtools_dataset_edges.csv` contains the \"edges\" for the dataset.\n",
        "    * An edge is a DICOM-DICOM pair that are connected based on the metadata.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3aab7vuFyowg",
        "outputId": "bd618e73-0e88-4812-ca24-7ac8830195d3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Files generated by Med-ImageTools:\n",
            "\n",
            "imgtools_tciaDownload_edges.csv\n",
            "imgtools_tciaDownload.json\n",
            "imgtools_tciaDownload.csv\n"
          ]
        }
      ],
      "source": [
        "parent_folder   = os.path.dirname(INPUT_PATH)\n",
        "imgtools_folder = os.path.join(parent_folder, \".imgtools\")\n",
        "imgtools_files  = os.listdir(imgtools_folder)\n",
        "\n",
        "print(\"Files generated by Med-ImageTools:\\n\")\n",
        "print(\"\\n\".join(imgtools_files))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PN73vOieyowg"
      },
      "source": [
        "This is what the crawled dataset looks like.\n",
        "Each row represents a DICOM series (CT, MRI, PET, RTSTRUCT, SEG, RTDOSE, RTPLAN, etc)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "GkvIdT31yowg",
        "outputId": "93935d4b-95b8-4612-c59c-0411c0a7e442"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            patient_ID                                              study  \\\n",
              "0   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "1   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "2   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "3   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "4   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "5   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "6   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "7   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "8   Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "9   Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "10  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "11  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "12  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "13  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "14  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "15  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "16  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "17  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "18  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "19  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "20  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "21  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "22  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "23  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "24  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "25  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "26  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "27  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "\n",
              "          study_description  \\\n",
              "0   Pancreas/Liver DIBH 2mm   \n",
              "1   Pancreas/Liver DIBH 2mm   \n",
              "2   Pancreas/Liver DIBH 2mm   \n",
              "3   Pancreas/Liver DIBH 2mm   \n",
              "4   Pancreas/Liver DIBH 2mm   \n",
              "5   Pancreas/Liver DIBH 2mm   \n",
              "6   Pancreas/Liver DIBH 2mm   \n",
              "7   Pancreas/Liver DIBH 2mm   \n",
              "8   Pancreas/Liver DIBH 2mm   \n",
              "9                  PANCREAS   \n",
              "10                 PANCREAS   \n",
              "11                 PANCREAS   \n",
              "12                 PANCREAS   \n",
              "13                 PANCREAS   \n",
              "14                 PANCREAS   \n",
              "15                 PANCREAS   \n",
              "16                 PANCREAS   \n",
              "17                 PANCREAS   \n",
              "18                 PANCREAS   \n",
              "19                 PANCREAS   \n",
              "20                 PANCREAS   \n",
              "21                 PANCREAS   \n",
              "22                 PANCREAS   \n",
              "23                 PANCREAS   \n",
              "24                 PANCREAS   \n",
              "25                 PANCREAS   \n",
              "26                 PANCREAS   \n",
              "27                 PANCREAS   \n",
              "\n",
              "                                               series  \\\n",
              "0   1.3.6.1.4.1.14519.5.2.1.6512363249234457542274...   \n",
              "1   1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...   \n",
              "2   1.3.6.1.4.1.14519.5.2.1.4539053103052673453496...   \n",
              "3   1.3.6.1.4.1.14519.5.2.1.3214919025494098598614...   \n",
              "4   1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...   \n",
              "5   1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...   \n",
              "6   1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...   \n",
              "7   1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...   \n",
              "8   1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...   \n",
              "9   1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...   \n",
              "10  1.3.6.1.4.1.14519.5.2.1.1692393728185354265794...   \n",
              "11  1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...   \n",
              "12  1.3.6.1.4.1.14519.5.2.1.2543830093577747739677...   \n",
              "13  1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...   \n",
              "14  1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...   \n",
              "15  1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...   \n",
              "16  1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...   \n",
              "17  1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...   \n",
              "18  1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...   \n",
              "19  1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...   \n",
              "20  1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...   \n",
              "21  1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...   \n",
              "22  1.3.6.1.4.1.14519.5.2.1.2452239859660614261024...   \n",
              "23  1.3.6.1.4.1.14519.5.2.1.1873504185020096547520...   \n",
              "24  1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...   \n",
              "25  1.3.6.1.4.1.14519.5.2.1.3094364563653665937958...   \n",
              "26  1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...   \n",
              "27  1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...   \n",
              "\n",
              "         series_description subseries  modality  instances  \\\n",
              "0                       NaN         1        CT         88   \n",
              "1            Aligned CBCT01         1        CT        228   \n",
              "2                       NaN         1        CT         88   \n",
              "3             Eclipse Doses   default    RTDOSE          1   \n",
              "4           BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "5           DIBH, iDose (3)         3        CT        228   \n",
              "6                Aligned CT         1        CT        228   \n",
              "7           BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "8       BSPC_LL_LR_ROI_SDPC   default  RTSTRUCT          1   \n",
              "9   BSO1_BSO2_ROI_SDO1_SDO2   default  RTSTRUCT          1   \n",
              "10                      NaN         1        CT         88   \n",
              "11          BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "12            Eclipse Doses   default    RTDOSE          1   \n",
              "13               Aligned CT         1        CT         93   \n",
              "14                      NaN         1        CT         88   \n",
              "15      BSPC_LL_LR_ROI_SDPC   default  RTSTRUCT          1   \n",
              "16          BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "17               Aligned CT         1        CT         93   \n",
              "18                       DI       NaN        CT         93   \n",
              "19   PANCREAS DI, iDose (3)         1        CT        134   \n",
              "20   Aligned resampled CB02         1        CT        134   \n",
              "21          BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "22            Eclipse Doses   default    RTDOSE          1   \n",
              "23                      NaN         1        CT         93   \n",
              "24      BSPC_LL_LR_ROI_SDPC   default  RTSTRUCT          1   \n",
              "25                      NaN         1        CT         93   \n",
              "26             Aligned CB07         1        CT        134   \n",
              "27          BSCB_LL_LR_SDCB   default  RTSTRUCT          1   \n",
              "\n",
              "                                         instance_uid  \\\n",
              "0   1.3.6.1.4.1.14519.5.2.1.8308560590762491066032...   \n",
              "1   1.3.6.1.4.1.14519.5.2.1.1442070368379428302503...   \n",
              "2   1.3.6.1.4.1.14519.5.2.1.3303738426766133244428...   \n",
              "3   1.3.6.1.4.1.14519.5.2.1.2812895455145780179879...   \n",
              "4   1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...   \n",
              "5   1.3.6.1.4.1.14519.5.2.1.3070319204424362694259...   \n",
              "6   1.3.6.1.4.1.14519.5.2.1.3282911217272883942436...   \n",
              "7   1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...   \n",
              "8   1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...   \n",
              "9   1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...   \n",
              "10  1.3.6.1.4.1.14519.5.2.1.1388206171929598553631...   \n",
              "11  1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...   \n",
              "12  1.3.6.1.4.1.14519.5.2.1.2950467366645501420162...   \n",
              "13  1.3.6.1.4.1.14519.5.2.1.7921605915459345120496...   \n",
              "14  1.3.6.1.4.1.14519.5.2.1.2356922013514428755032...   \n",
              "15  1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...   \n",
              "16  1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...   \n",
              "17  1.3.6.1.4.1.14519.5.2.1.2008744807020779037397...   \n",
              "18  1.3.6.1.4.1.14519.5.2.1.2416640574708273083639...   \n",
              "19  1.3.6.1.4.1.14519.5.2.1.3328043612256966168356...   \n",
              "20  1.3.6.1.4.1.14519.5.2.1.8740201381973198460214...   \n",
              "21  1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...   \n",
              "22  1.3.6.1.4.1.14519.5.2.1.1433737074766030694650...   \n",
              "23  1.3.6.1.4.1.14519.5.2.1.3249748305482927767645...   \n",
              "24  1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...   \n",
              "25  1.3.6.1.4.1.14519.5.2.1.3053250405765980442864...   \n",
              "26  1.3.6.1.4.1.14519.5.2.1.1971756455065354165673...   \n",
              "27  1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...   \n",
              "\n",
              "                                         reference_ct  ...  \\\n",
              "0                                                 NaN  ...   \n",
              "1                                                 NaN  ...   \n",
              "2                                                 NaN  ...   \n",
              "3                                                 NaN  ...   \n",
              "4   1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...  ...   \n",
              "5                                                 NaN  ...   \n",
              "6                                                 NaN  ...   \n",
              "7   1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...  ...   \n",
              "8   1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...  ...   \n",
              "9   1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...  ...   \n",
              "10                                                NaN  ...   \n",
              "11  1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...  ...   \n",
              "12                                                NaN  ...   \n",
              "13                                                NaN  ...   \n",
              "14                                                NaN  ...   \n",
              "15  1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...  ...   \n",
              "16  1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...  ...   \n",
              "17                                                NaN  ...   \n",
              "18                                                NaN  ...   \n",
              "19                                                NaN  ...   \n",
              "20                                                NaN  ...   \n",
              "21  1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...  ...   \n",
              "22                                                NaN  ...   \n",
              "23                                                NaN  ...   \n",
              "24  1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...  ...   \n",
              "25                                                NaN  ...   \n",
              "26                                                NaN  ...   \n",
              "27  1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...  ...   \n",
              "\n",
              "                                      reference_frame  \\\n",
              "0   1.3.6.1.4.1.14519.5.2.1.1756147160543368957118...   \n",
              "1   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "2   1.3.6.1.4.1.14519.5.2.1.2158793040532861477462...   \n",
              "3   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "4   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "5   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "6   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "7   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "8   1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...   \n",
              "9   1.3.6.1.4.1.14519.5.2.1.3113641383176229395155...   \n",
              "10  1.3.6.1.4.1.14519.5.2.1.1951367027389165888582...   \n",
              "11  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "12  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "13  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "14  1.3.6.1.4.1.14519.5.2.1.3113641383176229395155...   \n",
              "15  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "16  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "17  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "18  1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...   \n",
              "19  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "20  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "21  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "22  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "23  1.3.6.1.4.1.14519.5.2.1.3002110432927852889886...   \n",
              "24  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "25  1.3.6.1.4.1.14519.5.2.1.4982815033900963788917...   \n",
              "26  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "27  1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...   \n",
              "\n",
              "                                               folder  \\\n",
              "0   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6512...   \n",
              "1   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1324...   \n",
              "2   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.4539...   \n",
              "3   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3214...   \n",
              "4   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...   \n",
              "5   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1058...   \n",
              "6   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1116...   \n",
              "7   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...   \n",
              "8   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...   \n",
              "9   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...   \n",
              "10  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1692...   \n",
              "11  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...   \n",
              "12  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2543...   \n",
              "13  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1767...   \n",
              "14  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6161...   \n",
              "15  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...   \n",
              "16  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...   \n",
              "17  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1004...   \n",
              "18  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.9566...   \n",
              "19  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3023...   \n",
              "20  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3090...   \n",
              "21  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...   \n",
              "22  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2452...   \n",
              "23  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1873...   \n",
              "24  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...   \n",
              "25  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3094...   \n",
              "26  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1027...   \n",
              "27  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...   \n",
              "\n",
              "                                          orientation orientation_type  \\\n",
              "0    [0.99999951136927, 0, 0.00098856523562, 0, 1, 0]              NaN   \n",
              "1                      [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "2                                  [1, 0, 0, 0, 1, 0]              NaN   \n",
              "3                                  [1, 0, 0, 0, 1, 0]              NaN   \n",
              "4                                                 NaN              NaN   \n",
              "5                                  [1, 0, 0, 0, 1, 0]              NaN   \n",
              "6                      [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "7                                                 NaN              NaN   \n",
              "8                                                 NaN              NaN   \n",
              "9                                                 NaN              NaN   \n",
              "10  [0.99996339591029, 0.00013441567073, 0.0085550...              NaN   \n",
              "11                                                NaN              NaN   \n",
              "12                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "13                     [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "14                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "15                                                NaN              NaN   \n",
              "16                                                NaN              NaN   \n",
              "17                     [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "18                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "19                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "20                     [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "21                                                NaN              NaN   \n",
              "22                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "23   [0.99999707112186, 0, -0.0024202784358, 0, 1, 0]              NaN   \n",
              "24                                                NaN              NaN   \n",
              "25                                 [1, 0, 0, 0, 1, 0]              NaN   \n",
              "26                     [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]              NaN   \n",
              "27                                                NaN              NaN   \n",
              "\n",
              "   MR_repetition_time  MR_echo_time  MR_scan_sequence  \\\n",
              "0                 NaN           NaN               NaN   \n",
              "1                 NaN           NaN               NaN   \n",
              "2                 NaN           NaN               NaN   \n",
              "3                 NaN           NaN               NaN   \n",
              "4                 NaN           NaN               NaN   \n",
              "5                 NaN           NaN               NaN   \n",
              "6                 NaN           NaN               NaN   \n",
              "7                 NaN           NaN               NaN   \n",
              "8                 NaN           NaN               NaN   \n",
              "9                 NaN           NaN               NaN   \n",
              "10                NaN           NaN               NaN   \n",
              "11                NaN           NaN               NaN   \n",
              "12                NaN           NaN               NaN   \n",
              "13                NaN           NaN               NaN   \n",
              "14                NaN           NaN               NaN   \n",
              "15                NaN           NaN               NaN   \n",
              "16                NaN           NaN               NaN   \n",
              "17                NaN           NaN               NaN   \n",
              "18                NaN           NaN               NaN   \n",
              "19                NaN           NaN               NaN   \n",
              "20                NaN           NaN               NaN   \n",
              "21                NaN           NaN               NaN   \n",
              "22                NaN           NaN               NaN   \n",
              "23                NaN           NaN               NaN   \n",
              "24                NaN           NaN               NaN   \n",
              "25                NaN           NaN               NaN   \n",
              "26                NaN           NaN               NaN   \n",
              "27                NaN           NaN               NaN   \n",
              "\n",
              "    MR_magnetic_field_strength  MR_imaged_nucleus  \\\n",
              "0                          NaN                NaN   \n",
              "1                          NaN                NaN   \n",
              "2                          NaN                NaN   \n",
              "3                          NaN                NaN   \n",
              "4                          NaN                NaN   \n",
              "5                          NaN                NaN   \n",
              "6                          NaN                NaN   \n",
              "7                          NaN                NaN   \n",
              "8                          NaN                NaN   \n",
              "9                          NaN                NaN   \n",
              "10                         NaN                NaN   \n",
              "11                         NaN                NaN   \n",
              "12                         NaN                NaN   \n",
              "13                         NaN                NaN   \n",
              "14                         NaN                NaN   \n",
              "15                         NaN                NaN   \n",
              "16                         NaN                NaN   \n",
              "17                         NaN                NaN   \n",
              "18                         NaN                NaN   \n",
              "19                         NaN                NaN   \n",
              "20                         NaN                NaN   \n",
              "21                         NaN                NaN   \n",
              "22                         NaN                NaN   \n",
              "23                         NaN                NaN   \n",
              "24                         NaN                NaN   \n",
              "25                         NaN                NaN   \n",
              "26                         NaN                NaN   \n",
              "27                         NaN                NaN   \n",
              "\n",
              "                                            file_path  \n",
              "0   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6512...  \n",
              "1   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1324...  \n",
              "2   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.4539...  \n",
              "3   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3214...  \n",
              "4   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...  \n",
              "5   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1058...  \n",
              "6   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1116...  \n",
              "7   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...  \n",
              "8   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...  \n",
              "9   tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...  \n",
              "10  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1692...  \n",
              "11  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...  \n",
              "12  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2543...  \n",
              "13  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1767...  \n",
              "14  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6161...  \n",
              "15  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...  \n",
              "16  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...  \n",
              "17  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1004...  \n",
              "18  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.9566...  \n",
              "19  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3023...  \n",
              "20  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3090...  \n",
              "21  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...  \n",
              "22  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2452...  \n",
              "23  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1873...  \n",
              "24  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...  \n",
              "25  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3094...  \n",
              "26  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1027...  \n",
              "27  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...  \n",
              "\n",
              "[28 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-235bc230-9771-4bc6-968e-e89af56c25d6\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>patient_ID</th>\n",
              "      <th>study</th>\n",
              "      <th>study_description</th>\n",
              "      <th>series</th>\n",
              "      <th>series_description</th>\n",
              "      <th>subseries</th>\n",
              "      <th>modality</th>\n",
              "      <th>instances</th>\n",
              "      <th>instance_uid</th>\n",
              "      <th>reference_ct</th>\n",
              "      <th>...</th>\n",
              "      <th>reference_frame</th>\n",
              "      <th>folder</th>\n",
              "      <th>orientation</th>\n",
              "      <th>orientation_type</th>\n",
              "      <th>MR_repetition_time</th>\n",
              "      <th>MR_echo_time</th>\n",
              "      <th>MR_scan_sequence</th>\n",
              "      <th>MR_magnetic_field_strength</th>\n",
              "      <th>MR_imaged_nucleus</th>\n",
              "      <th>file_path</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6512363249234457542274...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>88</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.8308560590762491066032...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1756147160543368957118...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6512...</td>\n",
              "      <td>[0.99999951136927, 0, 0.00098856523562, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6512...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...</td>\n",
              "      <td>Aligned CBCT01</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1442070368379428302503...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1324...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1324...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.4539053103052673453496...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>88</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3303738426766133244428...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2158793040532861477462...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.4539...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.4539...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3214919025494098598614...</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>default</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2812895455145780179879...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3214...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3214...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...</td>\n",
              "      <td>DIBH, iDose (3)</td>\n",
              "      <td>3</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3070319204424362694259...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1058...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1058...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3282911217272883942436...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1116...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1116...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2395440829883110188894...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...</td>\n",
              "      <td>BSO1_BSO2_ROI_SDO1_SDO2</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3113641383176229395155...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1692393728185354265794...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>88</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1388206171929598553631...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1951367027389165888582...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1692...</td>\n",
              "      <td>[0.99996339591029, 0.00013441567073, 0.0085550...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1692...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2543830093577747739677...</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>default</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2950467366645501420162...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2543...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2543...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7921605915459345120496...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1767...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1767...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>88</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2356922013514428755032...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3113641383176229395155...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6161...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.6161...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2008744807020779037397...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1004...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1004...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...</td>\n",
              "      <td>DI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2416640574708273083639...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3929775310669987789609...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.9566...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.9566...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...</td>\n",
              "      <td>PANCREAS DI, iDose (3)</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3328043612256966168356...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3023...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3023...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...</td>\n",
              "      <td>Aligned resampled CB02</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.8740201381973198460214...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3090...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3090...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2452239859660614261024...</td>\n",
              "      <td>Eclipse Doses</td>\n",
              "      <td>default</td>\n",
              "      <td>RTDOSE</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1433737074766030694650...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2452...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2452...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1873504185020096547520...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3249748305482927767645...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3002110432927852889886...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1873...</td>\n",
              "      <td>[0.99999707112186, 0, -0.0024202784358, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1873...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...</td>\n",
              "      <td>BSPC_LL_LR_ROI_SDPC</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3094364563653665937958...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3053250405765980442864...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.4982815033900963788917...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3094...</td>\n",
              "      <td>[1, 0, 0, 0, 1, 0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.3094...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...</td>\n",
              "      <td>Aligned CB07</td>\n",
              "      <td>1</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1971756455065354165673...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1027...</td>\n",
              "      <td>[1.0, 0.0, 0.0, 0.0, 1.0, 0.0]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1027...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...</td>\n",
              "      <td>BSCB_LL_LR_SDCB</td>\n",
              "      <td>default</td>\n",
              "      <td>RTSTRUCT</td>\n",
              "      <td>1</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...</td>\n",
              "      <td>...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1732966751911946382317...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>28 rows × 22 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-235bc230-9771-4bc6-968e-e89af56c25d6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-235bc230-9771-4bc6-968e-e89af56c25d6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-235bc230-9771-4bc6-968e-e89af56c25d6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f36ad936-3a16-4e34-94df-92d3276b056f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f36ad936-3a16-4e34-94df-92d3276b056f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f36ad936-3a16-4e34-94df-92d3276b056f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_ccec3a64-ef9e-4e85-b492-60fc2af6197b\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_crawl')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_ccec3a64-ef9e-4e85-b492-60fc2af6197b button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_crawl');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_crawl"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "df_crawl = pd.read_csv(os.path.join(imgtools_folder, imgtools_files[-1]), index_col=0)\n",
        "df_crawl"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oYgliGbXyowg"
      },
      "source": [
        "This is what the adjoined edges of the dataset looks like."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 586
        },
        "id": "zDzOFx2syowg",
        "outputId": "1389a7f7-a0b5-4ca8-8548-e3f52059e139"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         patient_ID_x                                            study_x  \\\n",
              "0  Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "1  Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "2  Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "3  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "4  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "5  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "6  Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "7  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "8  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "9  Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "\n",
              "       study_description_x                                           series_x  \\\n",
              "0  Pancreas/Liver DIBH 2mm  1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...   \n",
              "1  Pancreas/Liver DIBH 2mm  1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...   \n",
              "2  Pancreas/Liver DIBH 2mm  1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...   \n",
              "3                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...   \n",
              "4                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...   \n",
              "5                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...   \n",
              "6                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...   \n",
              "7                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...   \n",
              "8                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...   \n",
              "9                 PANCREAS  1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...   \n",
              "\n",
              "     series_description_x  subseries_x modality_x  instances_x  \\\n",
              "0          Aligned CBCT01          1.0         CT          228   \n",
              "1         DIBH, iDose (3)          3.0         CT          228   \n",
              "2              Aligned CT          1.0         CT          228   \n",
              "3              Aligned CT          1.0         CT           93   \n",
              "4                     NaN          1.0         CT           88   \n",
              "5              Aligned CT          1.0         CT           93   \n",
              "6                      DI          NaN         CT           93   \n",
              "7  PANCREAS DI, iDose (3)          1.0         CT          134   \n",
              "8  Aligned resampled CB02          1.0         CT          134   \n",
              "9            Aligned CB07          1.0         CT          134   \n",
              "\n",
              "                                      instance_uid_x  reference_ct_x  ...  \\\n",
              "0  1.3.6.1.4.1.14519.5.2.1.1442070368379428302503...             NaN  ...   \n",
              "1  1.3.6.1.4.1.14519.5.2.1.3070319204424362694259...             NaN  ...   \n",
              "2  1.3.6.1.4.1.14519.5.2.1.3282911217272883942436...             NaN  ...   \n",
              "3  1.3.6.1.4.1.14519.5.2.1.7921605915459345120496...             NaN  ...   \n",
              "4  1.3.6.1.4.1.14519.5.2.1.2356922013514428755032...             NaN  ...   \n",
              "5  1.3.6.1.4.1.14519.5.2.1.2008744807020779037397...             NaN  ...   \n",
              "6  1.3.6.1.4.1.14519.5.2.1.2416640574708273083639...             NaN  ...   \n",
              "7  1.3.6.1.4.1.14519.5.2.1.3328043612256966168356...             NaN  ...   \n",
              "8  1.3.6.1.4.1.14519.5.2.1.8740201381973198460214...             NaN  ...   \n",
              "9  1.3.6.1.4.1.14519.5.2.1.1971756455065354165673...             NaN  ...   \n",
              "\n",
              "                                            folder_y  orientation_y  \\\n",
              "0  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...            NaN   \n",
              "1  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...            NaN   \n",
              "2  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...            NaN   \n",
              "3  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...            NaN   \n",
              "4  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...            NaN   \n",
              "5  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...            NaN   \n",
              "6  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...            NaN   \n",
              "7  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...            NaN   \n",
              "8  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...            NaN   \n",
              "9  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...            NaN   \n",
              "\n",
              "  orientation_type_y MR_repetition_time_y MR_echo_time_y  MR_scan_sequence_y  \\\n",
              "0                NaN                  NaN            NaN                 NaN   \n",
              "1                NaN                  NaN            NaN                 NaN   \n",
              "2                NaN                  NaN            NaN                 NaN   \n",
              "3                NaN                  NaN            NaN                 NaN   \n",
              "4                NaN                  NaN            NaN                 NaN   \n",
              "5                NaN                  NaN            NaN                 NaN   \n",
              "6                NaN                  NaN            NaN                 NaN   \n",
              "7                NaN                  NaN            NaN                 NaN   \n",
              "8                NaN                  NaN            NaN                 NaN   \n",
              "9                NaN                  NaN            NaN                 NaN   \n",
              "\n",
              "   MR_magnetic_field_strength_y  MR_imaged_nucleus_y  \\\n",
              "0                           NaN                  NaN   \n",
              "1                           NaN                  NaN   \n",
              "2                           NaN                  NaN   \n",
              "3                           NaN                  NaN   \n",
              "4                           NaN                  NaN   \n",
              "5                           NaN                  NaN   \n",
              "6                           NaN                  NaN   \n",
              "7                           NaN                  NaN   \n",
              "8                           NaN                  NaN   \n",
              "9                           NaN                  NaN   \n",
              "\n",
              "                                         file_path_y  edge_type  \n",
              "0  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...          2  \n",
              "1  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...          2  \n",
              "2  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...          2  \n",
              "3  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...          2  \n",
              "4  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...          2  \n",
              "5  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...          2  \n",
              "6  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...          2  \n",
              "7  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...          2  \n",
              "8  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...          2  \n",
              "9  tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...          2  \n",
              "\n",
              "[10 rows x 41 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-14e698c9-6632-4a28-a97b-a4c1856b0f7e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>patient_ID_x</th>\n",
              "      <th>study_x</th>\n",
              "      <th>study_description_x</th>\n",
              "      <th>series_x</th>\n",
              "      <th>series_description_x</th>\n",
              "      <th>subseries_x</th>\n",
              "      <th>modality_x</th>\n",
              "      <th>instances_x</th>\n",
              "      <th>instance_uid_x</th>\n",
              "      <th>reference_ct_x</th>\n",
              "      <th>...</th>\n",
              "      <th>folder_y</th>\n",
              "      <th>orientation_y</th>\n",
              "      <th>orientation_type_y</th>\n",
              "      <th>MR_repetition_time_y</th>\n",
              "      <th>MR_echo_time_y</th>\n",
              "      <th>MR_scan_sequence_y</th>\n",
              "      <th>MR_magnetic_field_strength_y</th>\n",
              "      <th>MR_imaged_nucleus_y</th>\n",
              "      <th>file_path_y</th>\n",
              "      <th>edge_type</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...</td>\n",
              "      <td>Aligned CBCT01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1442070368379428302503...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2129...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...</td>\n",
              "      <td>DIBH, iDose (3)</td>\n",
              "      <td>3.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3070319204424362694259...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2114...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas/Liver DIBH 2mm</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>228</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3282911217272883942436...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1768...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7921605915459345120496...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7616...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>88</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2356922013514428755032...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.7696...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...</td>\n",
              "      <td>Aligned CT</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2008744807020779037397...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1693...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...</td>\n",
              "      <td>DI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>CT</td>\n",
              "      <td>93</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2416640574708273083639...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1043...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...</td>\n",
              "      <td>PANCREAS DI, iDose (3)</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3328043612256966168356...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.1813...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...</td>\n",
              "      <td>Aligned resampled CB02</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.8740201381973198460214...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2982...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>PANCREAS</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...</td>\n",
              "      <td>Aligned CB07</td>\n",
              "      <td>1.0</td>\n",
              "      <td>CT</td>\n",
              "      <td>134</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1971756455065354165673...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tciaDownload/data/1.3.6.1.4.1.14519.5.2.1.2817...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 41 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-14e698c9-6632-4a28-a97b-a4c1856b0f7e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-14e698c9-6632-4a28-a97b-a4c1856b0f7e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-14e698c9-6632-4a28-a97b-a4c1856b0f7e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-81d99077-c190-4080-b41e-298fa3522da7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-81d99077-c190-4080-b41e-298fa3522da7')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-81d99077-c190-4080-b41e-298fa3522da7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_8add0733-ac3e-43a1-b096-6ee18a075e64\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_edges')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_8add0733-ac3e-43a1-b096-6ee18a075e64 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_edges');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_edges"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "df_edges = pd.read_csv(os.path.join(imgtools_folder, imgtools_files[0]))\n",
        "df_edges"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qbweV0P7yowg"
      },
      "source": [
        "Let's see how many edges of each type we have in this dataset.\n",
        "There are 8 edge types detected by Med-ImageTools:\n",
        "* (0) RTDOSE-RTSTRUCT\n",
        "* (1) RTDOSE-CT\n",
        "* (2) RTSTRUCT-CT\n",
        "* (3) RTSTRUCT-PET\n",
        "* (4) CT-PET\n",
        "* (5) RTDOSE-PET\n",
        "* (6) RTPLAN-RTSTRUCT\n",
        "* (7) SEG-CT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KtFxesYwyowg",
        "outputId": "b1ce34d0-9fd8-4539-be07-0d9af1e2d63a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "edge_type\n",
            "2    10\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df_edges.edge_type.value_counts())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ipw7JU4fyowg"
      },
      "source": [
        "# 3 Processing a sample TCIA dataset using `AutoPipeline` with radiotherapy data\n",
        "\n",
        "Now let's actually run the AutoPipeline and see what we get!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CLSU5lZhyowh",
        "outputId": "0690c68c-6574-4c71-a6dc-09812da36356"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "initializing AutoPipeline...\n",
            "The dataset has already been indexed.\n",
            "Edge table is already present. Loading the data...\n",
            "Forming the graph based on the given modalities: CT,RTSTRUCT\n",
            "/usr/local/lib/python3.10/dist-packages/imgtools/modules/datagraph.py:404: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n",
            "  relevant_study_id = self.df_new.loc[(self.df_new.edge_type.str.contains(regex_term)), \"study_x\"].unique()\n",
            "There are 10 cases containing all CT,RTSTRUCT modalities.\n",
            "starting AutoPipeline...\n",
            "5_Pancreas-CT-CB_003\n",
            "9_Pancreas-CT-CB_001\n",
            "2_Pancreas-CT-CB_002\n",
            "8_Pancreas-CT-CB_001\n",
            "Processing: 5_Pancreas-CT-CB_003\n",
            "Processing: 2_Pancreas-CT-CB_002\n",
            "Processing: 9_Pancreas-CT-CB_001\n",
            "Processing: 8_Pancreas-CT-CB_001\n",
            "5_Pancreas-CT-CB_003  start\n",
            "8_Pancreas-CT-CB_001  start\n",
            "9_Pancreas-CT-CB_001  start\n",
            "8_Pancreas-CT-CB_001  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "9_Pancreas-CT-CB_001  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "5_Pancreas-CT-CB_003  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "2_Pancreas-CT-CB_002  start\n",
            "2_Pancreas-CT-CB_002  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "9_Pancreas-CT-CB_001 SAVED MASK ON CT\n",
            "0_Pancreas-CT-CB_002\n",
            "Processing: 0_Pancreas-CT-CB_002\n",
            "8_Pancreas-CT-CB_001 SAVED MASK ON CT\n",
            "1_Pancreas-CT-CB_002\n",
            "Processing: 1_Pancreas-CT-CB_002\n",
            "5_Pancreas-CT-CB_003 SAVED MASK ON CT\n",
            "4_Pancreas-CT-CB_003\n",
            "Processing: 4_Pancreas-CT-CB_003\n",
            "0_Pancreas-CT-CB_002  start\n",
            "4_Pancreas-CT-CB_003  start\n",
            "4_Pancreas-CT-CB_003  SAVED IMAGE\n",
            "labels: {'BowelSmObs1': 0, 'BowelSmObs2': 1, 'ROI': 2, 'StomachDuoObs1': 3, 'StomachDuoObs2': 4}\n",
            "0_Pancreas-CT-CB_002  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "1_Pancreas-CT-CB_002  start\n",
            "1_Pancreas-CT-CB_002  SAVED IMAGE\n",
            "labels: {'Bowel_sm_planCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'ROI': 3, 'Stomach_duo_planCT': 4}\n",
            "2_Pancreas-CT-CB_002 SAVED MASK ON CT\n",
            "7_Pancreas-CT-CB_001\n",
            "Processing: 7_Pancreas-CT-CB_001\n",
            "7_Pancreas-CT-CB_001  start\n",
            "4_Pancreas-CT-CB_003 SAVED MASK ON CT\n",
            "6_Pancreas-CT-CB_003\n",
            "Processing: 6_Pancreas-CT-CB_003\n",
            "7_Pancreas-CT-CB_001  SAVED IMAGE\n",
            "labels: {'Bowel_sm_planCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'ROI': 3, 'Stomach_duo_planCT': 4}\n",
            "6_Pancreas-CT-CB_003  start\n",
            "6_Pancreas-CT-CB_003  SAVED IMAGE\n",
            "labels: {'Bowel_sm_planCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'ROI': 3, 'Stomach_duo_planCT': 4}\n",
            "0_Pancreas-CT-CB_002 SAVED MASK ON CT\n",
            "3_Pancreas-CT-CB_003\n",
            "Processing: 3_Pancreas-CT-CB_003\n",
            "3_Pancreas-CT-CB_003  start\n",
            "3_Pancreas-CT-CB_003  SAVED IMAGE\n",
            "labels: {'Bowel_sm_CBCT': 0, 'LUNG_L': 1, 'LUNG_R': 2, 'Stomach_duo_CBCT': 3}\n",
            "7_Pancreas-CT-CB_001 SAVED MASK ON CT\n",
            "6_Pancreas-CT-CB_003 SAVED MASK ON CT\n",
            "1_Pancreas-CT-CB_002 SAVED MASK ON CT\n",
            "3_Pancreas-CT-CB_003 SAVED MASK ON CT\n",
            "/usr/local/lib/python3.10/dist-packages/imgtools/autopipeline.py:709: UserWarning: Patient data does not have proper DICOM references\n",
            "  warnings.warn(f\"Patient {e} does not have proper DICOM references\")\n",
            "finished AutoPipeline!\n",
            "Outputted data to autoPipeline\n",
            "Dataset info found at autoPipeline/dataset.csv\n"
          ]
        }
      ],
      "source": [
        "!autopipeline \\\n",
        "     $INPUT_PATH \\\n",
        "     $OUTPUT_PATH \\\n",
        "     --modalities CT,RTSTRUCT \\\n",
        "     --n_jobs 4"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UMgE7HMRyowh"
      },
      "source": [
        "The output folder will be structured like this:\n",
        "```\n",
        "output_folder\n",
        "├── dataset.csv\n",
        "├── report.md\n",
        "│\n",
        "├── 0_patient-001\n",
        "│   ├── CT\n",
        "│   │   └── CT.nii.gz\n",
        "│   └── RTSTRUCT_CT\n",
        "│       ├── Head.nii.gz\n",
        "│       ├── Shoulder.nii.gz\n",
        "│       ├── Knees.nii.gz\n",
        "│       └── Toes.nii.gz\n",
        "│\n",
        "├── 1_patient-002\n",
        "├── 2_patient-003\n",
        "...\n",
        "```\n",
        "\n",
        "Let's see what's inside the folder:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "i_H3kRUyyowh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c8dc5ae0-1a51-4513-f9e2-a2cd1b2e1341"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Output folders:\n",
            "\n",
            "1_Pancreas-CT-CB_002\n",
            "0_Pancreas-CT-CB_002\n",
            "2_Pancreas-CT-CB_002\n",
            "8_Pancreas-CT-CB_001\n",
            "4_Pancreas-CT-CB_003\n",
            "6_Pancreas-CT-CB_003\n",
            "5_Pancreas-CT-CB_003\n",
            "7_Pancreas-CT-CB_001\n",
            "9_Pancreas-CT-CB_001\n",
            "3_Pancreas-CT-CB_003\n"
          ]
        }
      ],
      "source": [
        "output_folders = [path for path in os.listdir(OUTPUT_PATH) if os.path.isdir(os.path.join(OUTPUT_PATH, path))]\n",
        "print(\"Output folders:\\n\")\n",
        "print(\"\\n\".join(output_folders))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_3XIk-xLyowh"
      },
      "source": [
        "Let's take a look at the `dataset.csv` file."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "ZKv5gs4Iyowh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 586
        },
        "outputId": "a0ca6cb1-c5e5-4392-95ec-dd9b410db4d8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                                  study  \\\n",
              "0_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "1_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "2_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...   \n",
              "3_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "4_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "5_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "6_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...   \n",
              "7_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "8_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "9_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...   \n",
              "\n",
              "                              patient_ID  \\\n",
              "0_Pancreas-CT-CB_002  Pancreas-CT-CB_002   \n",
              "1_Pancreas-CT-CB_002  Pancreas-CT-CB_002   \n",
              "2_Pancreas-CT-CB_002  Pancreas-CT-CB_002   \n",
              "3_Pancreas-CT-CB_003  Pancreas-CT-CB_003   \n",
              "4_Pancreas-CT-CB_003  Pancreas-CT-CB_003   \n",
              "5_Pancreas-CT-CB_003  Pancreas-CT-CB_003   \n",
              "6_Pancreas-CT-CB_003  Pancreas-CT-CB_003   \n",
              "7_Pancreas-CT-CB_001  Pancreas-CT-CB_001   \n",
              "8_Pancreas-CT-CB_001  Pancreas-CT-CB_001   \n",
              "9_Pancreas-CT-CB_001  Pancreas-CT-CB_001   \n",
              "\n",
              "                                                              series_CT  \\\n",
              "0_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...   \n",
              "1_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...   \n",
              "2_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...   \n",
              "3_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...   \n",
              "4_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...   \n",
              "5_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...   \n",
              "6_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...   \n",
              "7_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...   \n",
              "8_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...   \n",
              "9_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...   \n",
              "\n",
              "                                                        input_folder_CT  \\\n",
              "0_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.13247285307176874...   \n",
              "1_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.10581773094108790...   \n",
              "2_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.11168519889505438...   \n",
              "3_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.17676445495555122...   \n",
              "4_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.61615185528278977...   \n",
              "5_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.10044113378691796...   \n",
              "6_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.95666825359284422...   \n",
              "7_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.30238279085558244...   \n",
              "8_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.30906864066728156...   \n",
              "9_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.10270722447337023...   \n",
              "\n",
              "                                                     series_RTSTRUCT_CT  \\\n",
              "0_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...   \n",
              "1_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...   \n",
              "2_Pancreas-CT-CB_002  1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...   \n",
              "3_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...   \n",
              "4_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...   \n",
              "5_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...   \n",
              "6_Pancreas-CT-CB_003  1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...   \n",
              "7_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...   \n",
              "8_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...   \n",
              "9_Pancreas-CT-CB_001  1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...   \n",
              "\n",
              "                                               input_folder_RTSTRUCT_CT  \\\n",
              "0_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.21291908179638460...   \n",
              "1_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.21141375085846319...   \n",
              "2_Pancreas-CT-CB_002  data/1.3.6.1.4.1.14519.5.2.1.17681067108239964...   \n",
              "3_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.76164879066619966...   \n",
              "4_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.76967489462799777...   \n",
              "5_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.16939680165983300...   \n",
              "6_Pancreas-CT-CB_003  data/1.3.6.1.4.1.14519.5.2.1.10438464952809369...   \n",
              "7_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.18138783555294854...   \n",
              "8_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.29821704198928752...   \n",
              "9_Pancreas-CT-CB_001  data/1.3.6.1.4.1.14519.5.2.1.28176639210209797...   \n",
              "\n",
              "                     BodyPartExamined  DataCollectionDiameter  SliceThickness  \\\n",
              "0_Pancreas-CT-CB_002          ABDOMEN              464.906433         2.00000   \n",
              "1_Pancreas-CT-CB_002          ABDOMEN              700.000000         2.00000   \n",
              "2_Pancreas-CT-CB_002          ABDOMEN              464.906433         2.00000   \n",
              "3_Pancreas-CT-CB_003          ABDOMEN              464.906433         3.00000   \n",
              "4_Pancreas-CT-CB_003          ABDOMEN              464.906423         1.98849   \n",
              "5_Pancreas-CT-CB_003          ABDOMEN              464.906433         3.00000   \n",
              "6_Pancreas-CT-CB_003          ABDOMEN              600.000000         3.00000   \n",
              "7_Pancreas-CT-CB_001          ABDOMEN              700.000000         3.00000   \n",
              "8_Pancreas-CT-CB_001          ABDOMEN              261.729645         3.00000   \n",
              "9_Pancreas-CT-CB_001          ABDOMEN              261.729645         3.00000   \n",
              "\n",
              "                     PatientPosition  ...         output_folder_RTSTRUCT_CT  \\\n",
              "0_Pancreas-CT-CB_002             HFS  ...  0_Pancreas-CT-CB_002/RTSTRUCT_CT   \n",
              "1_Pancreas-CT-CB_002             HFS  ...  1_Pancreas-CT-CB_002/RTSTRUCT_CT   \n",
              "2_Pancreas-CT-CB_002             HFS  ...  2_Pancreas-CT-CB_002/RTSTRUCT_CT   \n",
              "3_Pancreas-CT-CB_003             HFS  ...  3_Pancreas-CT-CB_003/RTSTRUCT_CT   \n",
              "4_Pancreas-CT-CB_003             HFS  ...  4_Pancreas-CT-CB_003/RTSTRUCT_CT   \n",
              "5_Pancreas-CT-CB_003             HFS  ...  5_Pancreas-CT-CB_003/RTSTRUCT_CT   \n",
              "6_Pancreas-CT-CB_003             HFS  ...  6_Pancreas-CT-CB_003/RTSTRUCT_CT   \n",
              "7_Pancreas-CT-CB_001             HFS  ...  7_Pancreas-CT-CB_001/RTSTRUCT_CT   \n",
              "8_Pancreas-CT-CB_001             HFS  ...  8_Pancreas-CT-CB_001/RTSTRUCT_CT   \n",
              "9_Pancreas-CT-CB_001             HFS  ...  9_Pancreas-CT-CB_001/RTSTRUCT_CT   \n",
              "\n",
              "                              Modalities numRTSTRUCTs  \\\n",
              "0_Pancreas-CT-CB_002  ['RTSTRUCT', 'CT']          1.0   \n",
              "1_Pancreas-CT-CB_002  ['RTSTRUCT', 'CT']          1.0   \n",
              "2_Pancreas-CT-CB_002  ['RTSTRUCT', 'CT']          1.0   \n",
              "3_Pancreas-CT-CB_003  ['RTSTRUCT', 'CT']          1.0   \n",
              "4_Pancreas-CT-CB_003  ['RTSTRUCT', 'CT']          1.0   \n",
              "5_Pancreas-CT-CB_003  ['RTSTRUCT', 'CT']          1.0   \n",
              "6_Pancreas-CT-CB_003  ['RTSTRUCT', 'CT']          1.0   \n",
              "7_Pancreas-CT-CB_001  ['RTSTRUCT', 'CT']          1.0   \n",
              "8_Pancreas-CT-CB_001  ['RTSTRUCT', 'CT']          1.0   \n",
              "9_Pancreas-CT-CB_001  ['RTSTRUCT', 'CT']          1.0   \n",
              "\n",
              "                      raw_labels_Bowel_sm_planCT raw_labels_ROI  \\\n",
              "0_Pancreas-CT-CB_002                         NaN            NaN   \n",
              "1_Pancreas-CT-CB_002                         0.0            3.0   \n",
              "2_Pancreas-CT-CB_002                         NaN            NaN   \n",
              "3_Pancreas-CT-CB_003                         NaN            NaN   \n",
              "4_Pancreas-CT-CB_003                         NaN            2.0   \n",
              "5_Pancreas-CT-CB_003                         NaN            NaN   \n",
              "6_Pancreas-CT-CB_003                         0.0            3.0   \n",
              "7_Pancreas-CT-CB_001                         0.0            3.0   \n",
              "8_Pancreas-CT-CB_001                         NaN            NaN   \n",
              "9_Pancreas-CT-CB_001                         NaN            NaN   \n",
              "\n",
              "                     raw_labels_Stomach_duo_planCT  raw_labels_BowelSmObs1  \\\n",
              "0_Pancreas-CT-CB_002                           NaN                     NaN   \n",
              "1_Pancreas-CT-CB_002                           4.0                     NaN   \n",
              "2_Pancreas-CT-CB_002                           NaN                     NaN   \n",
              "3_Pancreas-CT-CB_003                           NaN                     NaN   \n",
              "4_Pancreas-CT-CB_003                           NaN                     0.0   \n",
              "5_Pancreas-CT-CB_003                           NaN                     NaN   \n",
              "6_Pancreas-CT-CB_003                           4.0                     NaN   \n",
              "7_Pancreas-CT-CB_001                           4.0                     NaN   \n",
              "8_Pancreas-CT-CB_001                           NaN                     NaN   \n",
              "9_Pancreas-CT-CB_001                           NaN                     NaN   \n",
              "\n",
              "                      raw_labels_BowelSmObs2  raw_labels_StomachDuoObs1  \\\n",
              "0_Pancreas-CT-CB_002                     NaN                        NaN   \n",
              "1_Pancreas-CT-CB_002                     NaN                        NaN   \n",
              "2_Pancreas-CT-CB_002                     NaN                        NaN   \n",
              "3_Pancreas-CT-CB_003                     NaN                        NaN   \n",
              "4_Pancreas-CT-CB_003                     1.0                        3.0   \n",
              "5_Pancreas-CT-CB_003                     NaN                        NaN   \n",
              "6_Pancreas-CT-CB_003                     NaN                        NaN   \n",
              "7_Pancreas-CT-CB_001                     NaN                        NaN   \n",
              "8_Pancreas-CT-CB_001                     NaN                        NaN   \n",
              "9_Pancreas-CT-CB_001                     NaN                        NaN   \n",
              "\n",
              "                     raw_labels_StomachDuoObs2  \n",
              "0_Pancreas-CT-CB_002                       NaN  \n",
              "1_Pancreas-CT-CB_002                       NaN  \n",
              "2_Pancreas-CT-CB_002                       NaN  \n",
              "3_Pancreas-CT-CB_003                       NaN  \n",
              "4_Pancreas-CT-CB_003                       4.0  \n",
              "5_Pancreas-CT-CB_003                       NaN  \n",
              "6_Pancreas-CT-CB_003                       NaN  \n",
              "7_Pancreas-CT-CB_001                       NaN  \n",
              "8_Pancreas-CT-CB_001                       NaN  \n",
              "9_Pancreas-CT-CB_001                       NaN  \n",
              "\n",
              "[10 rows x 38 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8ff7a9e4-c8a4-4dd6-b6c8-2e4a38db226c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>study</th>\n",
              "      <th>patient_ID</th>\n",
              "      <th>series_CT</th>\n",
              "      <th>input_folder_CT</th>\n",
              "      <th>series_RTSTRUCT_CT</th>\n",
              "      <th>input_folder_RTSTRUCT_CT</th>\n",
              "      <th>BodyPartExamined</th>\n",
              "      <th>DataCollectionDiameter</th>\n",
              "      <th>SliceThickness</th>\n",
              "      <th>PatientPosition</th>\n",
              "      <th>...</th>\n",
              "      <th>output_folder_RTSTRUCT_CT</th>\n",
              "      <th>Modalities</th>\n",
              "      <th>numRTSTRUCTs</th>\n",
              "      <th>raw_labels_Bowel_sm_planCT</th>\n",
              "      <th>raw_labels_ROI</th>\n",
              "      <th>raw_labels_Stomach_duo_planCT</th>\n",
              "      <th>raw_labels_BowelSmObs1</th>\n",
              "      <th>raw_labels_BowelSmObs2</th>\n",
              "      <th>raw_labels_StomachDuoObs1</th>\n",
              "      <th>raw_labels_StomachDuoObs2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0_Pancreas-CT-CB_002</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1324728530717687446661...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.13247285307176874...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2129190817963846087988...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.21291908179638460...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>464.906433</td>\n",
              "      <td>2.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>0_Pancreas-CT-CB_002/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1_Pancreas-CT-CB_002</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1058177309410879024400...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.10581773094108790...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2114137508584631957882...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.21141375085846319...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>700.000000</td>\n",
              "      <td>2.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>1_Pancreas-CT-CB_002/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2_Pancreas-CT-CB_002</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1582046344163509315842...</td>\n",
              "      <td>Pancreas-CT-CB_002</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1116851988950543841719...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.11168519889505438...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1768106710823996410134...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.17681067108239964...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>464.906433</td>\n",
              "      <td>2.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>2_Pancreas-CT-CB_002/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3_Pancreas-CT-CB_003</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1767644549555512228280...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.17676445495555122...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7616487906661996620699...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.76164879066619966...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>464.906433</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>3_Pancreas-CT-CB_003/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4_Pancreas-CT-CB_003</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.6161518552827897770510...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.61615185528278977...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.7696748946279977700328...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.76967489462799777...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>464.906423</td>\n",
              "      <td>1.98849</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>4_Pancreas-CT-CB_003/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5_Pancreas-CT-CB_003</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1004411337869179670896...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.10044113378691796...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1693968016598330084597...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.16939680165983300...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>464.906433</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>5_Pancreas-CT-CB_003/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6_Pancreas-CT-CB_003</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2027136189212788770525...</td>\n",
              "      <td>Pancreas-CT-CB_003</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.9566682535928442256760...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.95666825359284422...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1043846495280936961716...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.10438464952809369...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>600.000000</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>6_Pancreas-CT-CB_003/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7_Pancreas-CT-CB_001</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3023827908555824457224...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.30238279085558244...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1813878355529485429185...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.18138783555294854...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>700.000000</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>7_Pancreas-CT-CB_001/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8_Pancreas-CT-CB_001</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.3090686406672815654659...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.30906864066728156...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2982170419892875273227...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.29821704198928752...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>261.729645</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>8_Pancreas-CT-CB_001/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9_Pancreas-CT-CB_001</th>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2108734576221172452337...</td>\n",
              "      <td>Pancreas-CT-CB_001</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.1027072244733702318999...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.10270722447337023...</td>\n",
              "      <td>1.3.6.1.4.1.14519.5.2.1.2817663921020979728325...</td>\n",
              "      <td>data/1.3.6.1.4.1.14519.5.2.1.28176639210209797...</td>\n",
              "      <td>ABDOMEN</td>\n",
              "      <td>261.729645</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>HFS</td>\n",
              "      <td>...</td>\n",
              "      <td>9_Pancreas-CT-CB_001/RTSTRUCT_CT</td>\n",
              "      <td>['RTSTRUCT', 'CT']</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 38 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ff7a9e4-c8a4-4dd6-b6c8-2e4a38db226c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8ff7a9e4-c8a4-4dd6-b6c8-2e4a38db226c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8ff7a9e4-c8a4-4dd6-b6c8-2e4a38db226c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-1180d27c-2b35-43f1-869b-0e344ff20a78\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1180d27c-2b35-43f1-869b-0e344ff20a78')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1180d27c-2b35-43f1-869b-0e344ff20a78 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_b1825540-1559-41d2-98bf-9c3a346d255b\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_data')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_b1825540-1559-41d2-98bf-9c3a346d255b button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_data"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "df_data = pd.read_csv(os.path.join(OUTPUT_PATH, \"dataset.csv\"), index_col=0)\n",
        "df_data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bOdKIxNAyowh"
      },
      "source": [
        "There are 3 main types of columns in the dataset.csv file that are important for analysis:\n",
        "* `patient_ID`: Defines the patient ID excluding index number.\n",
        "* `output_folder_{modality}`: Path to the output folder per modality.\n",
        "  * For example, for CT,RTSTRUCT modality pairs, the output folders will be `output_folder_CT` and `output_folder_RTSTRUCT_CT`.\n",
        "* DICOM imaging metadata: Imaging parameters saved in the metadata."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "zXuAT1imyowh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a6660efd-ebb2-4638-a319-7e29d44de7e1"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['study',\n",
              " 'patient_ID',\n",
              " 'series_CT',\n",
              " 'input_folder_CT',\n",
              " 'series_RTSTRUCT_CT',\n",
              " 'input_folder_RTSTRUCT_CT',\n",
              " 'BodyPartExamined',\n",
              " 'DataCollectionDiameter',\n",
              " 'SliceThickness',\n",
              " 'PatientPosition',\n",
              " 'Manufacturer',\n",
              " 'ScanOptions',\n",
              " 'RescaleType',\n",
              " 'RescaleSlope',\n",
              " 'ManufacturerModelName',\n",
              " 'PixelSize',\n",
              " 'KVP',\n",
              " 'XRayTubeCurrent',\n",
              " 'ReconstructionDiameter',\n",
              " 'ConvolutionKernel',\n",
              " 'size_CT',\n",
              " 'output_folder_CT',\n",
              " 'numROIs',\n",
              " 'metadata_RTSTRUCT_CT',\n",
              " 'raw_labels_Bowel_sm_CBCT',\n",
              " 'raw_labels_LUNG_L',\n",
              " 'raw_labels_LUNG_R',\n",
              " 'raw_labels_Stomach_duo_CBCT',\n",
              " 'output_folder_RTSTRUCT_CT',\n",
              " 'Modalities',\n",
              " 'numRTSTRUCTs',\n",
              " 'raw_labels_Bowel_sm_planCT',\n",
              " 'raw_labels_ROI',\n",
              " 'raw_labels_Stomach_duo_planCT',\n",
              " 'raw_labels_BowelSmObs1',\n",
              " 'raw_labels_BowelSmObs2',\n",
              " 'raw_labels_StomachDuoObs1',\n",
              " 'raw_labels_StomachDuoObs2']"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "df_data.columns.tolist()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mK0u3Aeuyowh"
      },
      "source": [
        "If you want to create a PyTorch Dataset/DataLoader using a Med-ImageTools processed dataset, you can use the `dataset.csv` to easily refer to the data.\n",
        "\n",
        "Here's an example of what a PyTorch Dataset/DataLoader might look like:\n",
        "\n",
        "```python\n",
        "class MedImageToolsDataset(Dataset):\n",
        "    def __init__(self,\n",
        "                 data_folder,\n",
        "                 roi=\"GTV\"):\n",
        "        self.data_dir = data_folder\n",
        "        self.data_df  = pd.read_csv(os.path.join(data_folder, \"dataset.csv\"))\n",
        "        self.roi      = roi\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data_df)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        # get the row of the dataframe\n",
        "        row = self.data_df.iloc[idx]\n",
        "        \n",
        "        # get image and mask\n",
        "        img = sitk.ReadImage(os.path.join(self.data_dir, row[\"output_folder_CT\"], \"CT.nii.gz\"))\n",
        "        mask = sitk.ReadImage(os.path.join(self.data_dir, row[\"output_folder_RTSTRUCT_CT\"], f\"{self.roi}.nii.gz\"))\n",
        "        \n",
        "        # return the pair!\n",
        "        return img, mask\n",
        "\n",
        "# Create a DataLoader\n",
        "dataloader = DataLoader(MedImageToolsDataset(dataset), batch_size=32)\n",
        "```\n",
        "\n",
        "A less-simplified version of the code with safer error handling and more comments looks like this. Try it out!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "lewoqSiXyowh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fe05ccf7-e3a5-41d9-cc13-257897dae3c8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Batch size: 4\n",
            "Image: (500, 500, 228)\n",
            "Mask: (500, 500, 228)\n"
          ]
        }
      ],
      "source": [
        "from torch.utils.data import Dataset, DataLoader\n",
        "from torch.utils.data.dataloader import default_collate\n",
        "import SimpleITK as sitk\n",
        "import re\n",
        "import pathlib\n",
        "\n",
        "# Define the Dataset class\n",
        "class MedImageToolsDataset(Dataset):\n",
        "    def __init__(self,\n",
        "                 data_folder,\n",
        "                 roi=\"GTV\"):\n",
        "        \"\"\"\n",
        "        Parameters\n",
        "        ----------\n",
        "        data_folder : str\n",
        "            Path to the folder containing the dataset.csv file and the output folders\n",
        "        roi : str\n",
        "            Name of the Region of Interest (ROI) to extract from the RTSTRUCT masks.\n",
        "            Regex expressions are accepted.\n",
        "        \"\"\"\n",
        "\n",
        "        if not os.path.exists(data_folder):\n",
        "            raise FileNotFoundError(f\"Folder {data_folder} does not exist\")\n",
        "        self.data_dir = data_folder\n",
        "\n",
        "        # Load the dataset.csv file\n",
        "        data_df_path = os.path.join(data_folder, \"dataset.csv\")\n",
        "        if not os.path.exists(data_df_path):\n",
        "            raise FileNotFoundError(f\"File dataset.csv not found in {data_folder}\")\n",
        "        self.data_df  = pd.read_csv(data_df_path)\n",
        "\n",
        "        self.output_cols   = [col for col in self.data_df.columns if col.startswith(\"output_folder_\")]\n",
        "        self.roi           = roi\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data_df)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        row = self.data_df.iloc[idx]\n",
        "\n",
        "        for col in self.output_cols:\n",
        "            if 'folder_CT' in col:\n",
        "                img_path = pathlib.Path(self.data_dir, row[col], \"CT.nii.gz\").as_posix()\n",
        "                if os.path.exists(img_path):\n",
        "                    img = sitk.ReadImage(img_path)\n",
        "                else:\n",
        "                    raise FileNotFoundError(f\"CT image not found at {img_path}\")\n",
        "                    break\n",
        "            elif 'RTSTRUCT' in col:\n",
        "                mask_folder_path = pathlib.Path(self.data_dir, row[col]).as_posix()\n",
        "                if os.path.exists(mask_folder_path):\n",
        "                    for mask_file in os.listdir(mask_folder_path):\n",
        "                        roi_name = mask_file.split(\".\")[0]\n",
        "                        if re.fullmatch(self.roi, roi_name, flags=re.IGNORECASE) or self.roi in roi_name:\n",
        "                            mask = sitk.ReadImage(os.path.join(self.data_dir, row[col], mask_file))\n",
        "                            break\n",
        "                else:\n",
        "                    continue\n",
        "                if 'mask' not in locals():\n",
        "                    raise FileNotFoundError(f\"Mask of {self.roi} not found in {row[col]}\")\n",
        "\n",
        "        if 'img' in locals() and 'mask' in locals():\n",
        "            return img, mask\n",
        "        else:\n",
        "            return None\n",
        "\n",
        "# Define a collate function\n",
        "def my_collate(batch):\n",
        "    \"Puts each data field into a tensor with outer dimension batch size\"\n",
        "    return [x for x in batch if x is not None]\n",
        "    # batch = filter(lambda x: x is not None, batch)\n",
        "    # return default_collate(batch)\n",
        "\n",
        "# Create a DataLoader\n",
        "dataloader = DataLoader(MedImageToolsDataset(OUTPUT_PATH,\n",
        "                                             roi=\"LUNG_L\"),\n",
        "                        batch_size=4,\n",
        "                        collate_fn=my_collate)\n",
        "\n",
        "# Print the first batch of data\n",
        "batch = next(iter(dataloader))\n",
        "print(\"Batch size:\", len(batch))\n",
        "\n",
        "img, mask = batch[0]\n",
        "print(f\"Image: {img.GetSize()}\")\n",
        "print(f\"Mask: {mask.GetSize()}\")"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "default",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.9"
    },
    "colab": {
      "provenance": [],
      "toc_visible": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}