Datasets Comparison
Version 2
Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification
Description
Steps to reproduce
Instructions found in README
Institutions
University of California San Diego
Categories
Applied Sciences
Licence
Creative Commons Attribution 4.0 International
Version 3
Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images
Description
Be sure to download the most recent version of this dataset to maintain accuracy.
This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". The images are split into a training set and a testing set of independent patients. Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.
This repository of images is made available for use in research only.
How to cite this data:
Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.
Steps to reproduce
Instructions found in README
Institutions
University of California San Diego, Guangzhou Women and Children's Medical Center
Categories
Applied Sciences, Medicine, Ophthalmology, Retina, Deep Learning
Related Links
Licence
Creative Commons Attribution 4.0 International