{"url":"/dataset/dfuc2021","name":"DFUC2021","full_name":"Diabetic Foot Ulcers 2021","description_markdown":"The Diabetic Foot Ulcers dataset (DFUC2021) is a dataset for analysis of pathology, focusing on infection and ischaemia. The final release of DFUC2021 consists of 15,683 DFU patches, with 5,955 training, 5,734 for testing and 3,994 unlabeled DFU patches. The ground truth labels are four classes, i.e. control, infection, ischaemia and both conditions.","description_withheld":null,"homepage":"https://dfu-challenge.github.io/","introduced_date":"2021-04-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/analysis-towards-classification-of-infection","title":"Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers","first_author":"Moi Hoon Yap","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["DFUC2021"],"data_loaders":[{"repo":"https://github.com/drsastryjammalamadaka/FootUlcer-","url":"https://github.com/drsastryjammalamadaka/FootUlcer-","frameworks":["pytorch"]}],"num_papers_in_archive":7,"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."}