Mock up dataset of OCT images from the Eye ACT study
Published on (2 days ago)
A collection of images for your next model
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Creators: AI-READI Consortium
Labeling Method: automated
Validation Info: gold labels used
License: AI-READI custom license v1.0
Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images
Published on (19 days ago)
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.
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Creators: Daniel Kermany, Kang Zhang, Michael Goldbaum
Labeling Method: semi-automated
Validation Info: QA complete
License: Creative Commons Attribution 4.0 International
Advanced Retinal Imaging Dataset for AI Development
Published on (19 days ago)
A dataset containing high-resolution images of the retina, including OCT scans and fundus images, designed for AI-based ophthalmology research.
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Creators: AI-READI Consortium
Labeling Method: automated
Validation Info: gold labels used
License: AI-READI custom license v1.0