{"url":"/dataset/bracs","name":"BRACS","full_name":"BReAst Carcinoma Subtyping","description_markdown":"BReAst Carcinoma Subtyping (**BRACS**) dataset, a large cohort of annotated Hematoxylin & Eosin (H&E)-stained images to facilitate the characterization of breast lesions. BRACS contains 547 Whole-Slide Images (WSIs), and 4539 Regions of Interest (ROIs) extracted from the WSIs. Each WSI, and respective ROIs, are annotated by the consensus of three board-certified pathologists into different lesion categories. Specifically, BRACS includes three lesion types, i.e., benign, malignant and atypical, which are further subtyped into seven categories.","description_withheld":null,"homepage":"https://www.bracs.icar.cnr.it/","introduced_date":"2021-11-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/bracs-a-dataset-for-breast-carcinoma","title":"BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images","first_author":"Nadia Brancati","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Breast Cancer Detection","url":"/task/breast-cancer-detection","datasets_with_task":"/datasets/task/breast-cancer-detection"}],"languages":[],"variants":["BRACS"],"data_loaders":[{"repo":"https://github.com/walterBischoff/vscode_test01","url":"https://github.com/walterBischoff/vscode_test01","frameworks":["pytorch"]}],"num_papers_in_archive":30,"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."}