{"url":"/dataset/ptcga200","name":"PTCGA200","full_name":"Patch TCGA in 200 microns by 512 px","description_markdown":"**PTCGA200** is a public pathological H&E image datasets from Patch TCGA in 200 microns by 512 px.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/18CmL-WLyppK1Rk29CgV7ib5MACFzg5ei?usp=drive_link","introduced_date":"2023-03-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/large-scale-pretraining-on-pathological","title":"Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks","first_author":"Masataka Kawai","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["PTCGA200"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-24T18:15:14+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."}