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Corneal Nerve Dataset

Dataset Information

The Corneal Nerve dataset includes 90 confocal microscopy images of the corneal basal epithelium from both normal and pathological patients, with a field size of 460x350 μm and a magnification of 40 times. Confocal microscopic imaging can rapidly and non-invasively obtain images of corneal layers, providing important information about corneal nerve structures and corneal health status. Clinically, assessments of the health of the corneal basal epithelium are based on tedious manual nerve tracing and analysis. Therefore, conclusions require a significant amount of time and are somewhat subjective. The authors hope that this dataset will promote research on automated image analysis algorithms in this field and the development of related programs, thereby increasing the accuracy and efficiency of clinical diagnoses.

Dataset Meta Information

Dimensions Modality Task Type Anatomical Structures Anatomical Area Number of Categories Data Volume File Format
2D Microscopy Images Classification Eye Head 2 90 JPG

Resolution Details

Dataset Statistics size
min [768,576]
median [768,576]
max [768,576]

Label Information Statistics

Category Number
Normal 76
Nonnormal 14

Visualization

Normal Corneal Basal Epithelium Image Example.

Nonnormal Corneal Basal Epithelium Image Example.

File Structure

The dataset's file structure is as follows, containing 90 jpg images, and note that the label for each image is indicated after the underscore in its name (Normal / NonNormal).

Corneal Nerve Dataset
├── Imm01_Normal.jpg
├── Imm02_Normal.jpg
├──  ...
├── Imm90_Normal.jpg

Authors and Institutions

Fabio Scarpa(University of Padova, Italy)

Enrico Grisan(University of Padova, Italy)

Alfredo Ruggeri(University of Padova, Italy)

Source Information

Official Website: http://bioimlab.dei.unipd.it/Corneal%20Nerve%20Data%20Set.htm

Download Link: http://bioimlab.dei.unipd.it/Corneal%20Nerve%20Data%20Set.htm

Article Address: https://iovs.arvojournals.org/article.aspx?articleid=2125558

Publication Date: 2008-11

Citation

@article{scarpa2008automatic,
  title={Automatic recognition of corneal nerve structures in images from confocal microscopy},
  author={Scarpa, Fabio and Grisan, Enrico and Ruggeri, Alfredo},
  journal={Investigative ophthalmology \& visual science},
  volume={49},
  number={11},
  pages={4801--4807},
  year={2008},
  publisher={The Association for Research in Vision and Ophthalmology}
}

Original introduction article is here.