{"url":"/dataset/brats21","name":"BRATS 2021","full_name":"RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021","description_markdown":"The RSNA-ASNR-MICCAI BraTS 2021 challenge utilizes multi-institutional pre-operative baseline multi-parametric magnetic resonance imaging (mpMRI) scans, and focuses on the evaluation of state-of-the-art methods for (Task 1) the segmentation of intrinsically heterogeneous brain glioblastoma sub-regions in mpMRI scans. Furthemore, this BraTS 2021 challenge also focuses on the evaluation of (Task 2) classification methods to predict the MGMT promoter methylation status.","description_withheld":null,"homepage":"http://braintumorsegmentation.org/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"MRI","url":"/datasets/modality/mri"}],"tasks":[{"name":"Brain Segmentation","url":"/task/brain-segmentation","datasets_with_task":"/datasets/task/brain-segmentation"}],"languages":[],"variants":["BRATS 2021"],"data_loaders":[{"repo":"https://github.com/icerain-alt/brats-unet","url":"http://braintumorsegmentation.org/","frameworks":["tf","pytorch"]}],"num_papers_in_archive":19,"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."}