{"url":"/dataset/immunocto","name":"Immunocto","full_name":null,"description_markdown":"As a first step towards building models that can recognise immune cells in WSIs, we introduce Immunocto, a high-resolution (40 x magnification) massive database of 2,310,257 immune cells distributed across 4 immune cell subtypes (CD4 T-cells, CD8+ T-cells, B-cells, and macrophages). To our knowledge, Immunocto is the largest available dataset of immune cells extracted from H\\&E WSIs by an order of magnitude. All models trained with this database can be tried at www.octopath.ai","description_withheld":null,"homepage":"https://zenodo.org/records/11073373","introduced_date":"2024-06-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/immunocto-a-massive-immune-cell-database-auto","title":"Immunocto: a massive immune cell database auto-generated for histopathology","first_author":"Mikaël Simard","url":null},"license":{"name":"Creative Commons 4.0","url":"https://zenodo.org/records/11073373"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Immunocto"],"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."}