Home of the FEMR Lab RDN segmentation software at PSU
For standalone version of RDN Segementer, download RDN_segmentation_container folder from https://drive.google.com/drive/folders/1iPtUwCdCiEAd8kMslV4znbZyJqAlmCKl?usp=sharing and follow RDN_Install_Use_Instructions.txt. Note: Standalone version only works on Windows systems.
This project uses python poetry to manage the environment
Read more about this here: https://python-poetry.org/
- Nicholas B. Stephens - Initial work [email protected]
- **Amiraseed Yazdani - Network design
- **Yung-Chen Sun - Network design
- Sharon Kuo - [email protected]
- Lily J. Demars - [email protected]
- Tim M. Ryan - PI [email protected]
- Vishal Monga - PI [email protected]
@INPROCEEDINGS{9443322,
author={Yazdani, Amirsaeed and Sun, Yung-Chen and Stephens, Nicholas B. and Ryan, Timothy and Monga, Vishal},
booktitle={2020 54th Asilomar Conference on Signals, Systems, and Computers},
title={Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks},
year={2020},
pages={1553-1557},
doi={10.1109/IEEECONF51394.2020.9443322}}
@INPROCEEDINGS{9048654,
author={Yazdani, Amirsaeed and Stephens, Nicholas B. and Cherukuri, Venkateswararao and Ryan, Timothy and Monga, Vishal},
booktitle={2019 53rd Asilomar Conference on Signals, Systems, and Computers},
title={Domain-Enriched Deep Network for Micro-CT Image Segmentation},
year={2019},
pages={1867-1871},
doi={10.1109/IEEECONF44664.2019.9048654}}
This project is open-source software distributed under the terms and conditions of the Free Software Foundation's GNU General Public License. https://www.gnu.org/licenses/gpl-3.0.txt