{"url":"/dataset/labeled-optical-coherence-tomography-oct-and","name":"Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification","full_name":"chestxray dataset","description_markdown":"Dataset of validated OCT and Chest X-Ray images  described and analyzed in \"Deep learning-based classification and referral of treatable human diseases\". The OCT Images are split into a training set and a testing set of independent patients. OCT Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/rscbjbr9sj/2","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}