{"url":"/dataset/brca-m2c","name":"BRCA-M2C","full_name":null,"description_markdown":"Dataset for multi-class cell classification in breast cancer H\\&E images using dot annotations . The labelled cell classes are lymphocytes, tumor or epithelial cells, and stromal cells.","description_withheld":null,"homepage":"https://github.com/TopoXLab/Dataset-BRCA-M2C","introduced_date":"2022-06-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-class-cell-detection-using-spatial-1","title":"Multi-Class Cell Detection Using Spatial Context Representation","first_author":"Shahira Abousamra","url":null},"license":{"name":"BSD 3-Clause","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["BRCA-M2C"],"data_loaders":[],"num_papers_in_archive":6,"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."}