{"paper":{"title":"The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"BraTS 2021 supplies a standardized benchmark of 2040 multi-institutional mpMRI cases for evaluating algorithms on glioma sub-region segmentation and MGMT methylation classification.","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aanchal Agarwal, Abhishek Mahajan, Achint K. Singh, Adam E. Flanders, Ahmed W. Moawad, Aikaterini Kotrotsou, Akm Rahman, Alexandru Dusoi, Alida A. Postma, Amit K. Agarwal, Andras Jakab, Anthony F. Miller, Arash Nazeri, Asako Miyakoshi, Atin Saha, Benedikt Wiestler, Bjoern Menze, Bojan D. Petrovic, Brent D. Weinberg, Chiharu Sako, Chintan Shah, Christie Lincoln, Christopher Hess, Christos Davatzikos, Cristina H. Besada, Daniel D. Do-Dai, Daniel Marcus, David Joyner, Elka Miller, Errol Colak, Evan Calabrese, Eyal Lotan, Fanny E. Moron, Felipe C. Kitamura, Gagandeep Choudhary, Gloria J. Guzman Perez-Carrillo, Greg Zaharchuk, Hassan Fathallah-Shaykh, Ichiro Ikuta, Jamal J. Derakhshan, James Eddy, James R. Mason, Javier Villanueva-Meyer, Jaya Nath, Jayashree Kalpathy-Cramer, Jeffrey D. Rudie, Jiaxin Zheng, Johanna Ortiz Jimenez, John B. Freymann, John L. Go, John Mongan, Juan E. Small, Julia Elliott, Justin S. Kirby, Kerem Ozturk, Keyvan Farahani, Laurent Letourneau-Guillon, Loizos Siakallis, Lubdha M. Shah, Luciano Farage, Luciano M. Prevedello, Luiz Otavio Coelho, Manal Nicolas-Jilwan, Manas Sharma, Marc-Andre Weber, Mariana C. Diogo, Mariana Sanchez-Montano, Mark C. Oswood, Michael Iv, Michel Bilello, Mikhail Milchenko, Milos M. Cekic, Mohiuddin Hadi, Neetu Soni, Olivia McDonnell, Onur Simsek, Priscila Crivellaro, Richard Silbergleit, Rivka R. Colen, Robert J. Young, Robert Y. Shih, Roland Wiest, Rong Chai, Russell T. Shinohara, Salil Soman, Sarthak Pati, Satyam Ghodasara, Soonmee Cha, Spyridon Bakas, Suyash Mohan, Sword C. Cambron, Thomas Schaffter, Thomas Yu, Timothy Bergquist, Ujjwal Baid, Vahe M. Zohrabian, Varun Sethi, Virginia B. Hill, Volodymyr Statsevych, Walter Reade, Xuan V. Nguyen, Yingming Chen, Yulia Bronstein","submitted_at":"2021-07-05T23:12:06Z","abstract_excerpt":"The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society. Since its inception, BraTS has been focusing on being a common benchmarking venue for brain glioma segmentation algorithms, with well-curated multi-institutional multi-parametric magnetic resonance imaging (mpMRI) data. Gliomas are the most common primary malignancies of the central nervous system, with varying degrees of aggressi"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The RSNA-ASNR-MICCAI BraTS 2021 challenge targets the evaluation of computational algorithms assessing the same tumor compartmentalization, as well as the underlying tumor's molecular characterization, in pre-operative baseline mpMRI data from 2,040 patients.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the multi-institutional mpMRI data has been consistently and accurately annotated for tumor sub-regions and MGMT status across all 2,040 cases, enabling fair algorithmic comparison.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"BraTS 2021 provides a 2,040-patient mpMRI benchmark for brain tumor sub-region segmentation and MGMT methylation classification, hosted on Synapse and Kaggle with $60,000 in awards.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"BraTS 2021 supplies a standardized benchmark of 2040 multi-institutional mpMRI cases for evaluating algorithms on glioma sub-region segmentation and MGMT methylation classification.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"122e1483cc81ad3dd787bcafc2afd6feceaf06c2ba7eeb04c384c779908dff77"},"source":{"id":"2107.02314","kind":"arxiv","version":2},"verdict":{"id":"128f00cb-45a9-4859-8394-195f3866f713","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T21:25:10.247147Z","strongest_claim":"The RSNA-ASNR-MICCAI BraTS 2021 challenge targets the evaluation of computational algorithms assessing the same tumor compartmentalization, as well as the underlying tumor's molecular characterization, in pre-operative baseline mpMRI data from 2,040 patients.","one_line_summary":"BraTS 2021 provides a 2,040-patient mpMRI benchmark for brain tumor sub-region segmentation and MGMT methylation classification, hosted on Synapse and Kaggle with $60,000 in awards.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the multi-institutional mpMRI data has been consistently and accurately annotated for tumor sub-regions and MGMT status across all 2,040 cases, enabling fair algorithmic comparison.","pith_extraction_headline":"BraTS 2021 supplies a standardized benchmark of 2040 multi-institutional mpMRI cases for evaluating algorithms on glioma sub-region segmentation and MGMT methylation classification."},"references":{"count":47,"sample":[{"doi":"","year":2019,"title":"cimpact-now: a practical summary of diagnostic points from round 1 updates,","work_id":"844bca20-ae25-42e7-b977-93a21566d0e4","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"cimpact-now update 1: not otherwise specified (nos) and not elsewhere classified (nec),","work_id":"2a5c8951-b4e3-4131-af83-323559205bfc","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"cimpact-now update 2: diagnostic clarifications for diffuse midline glioma, h3 k27m-mutant and diffuse astrocytoma/anaplastic astrocytoma, idh-mutant,","work_id":"d1727170-7bf5-4e75-ba4e-76bff8b86309","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"cimpact- now update 3: recommended diagnostic criteria for “diffuse astrocytic glioma, idh-wildtype, with molecular features of glioblastoma, who grade iv","work_id":"dd303c5b-6a44-469f-9539-802b961765c8","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2019,"title":"cimpact-now update 4: diffuse gliomas characterized by myb, mybl1, or fgfr1 alterations or braf v600e mutation,","work_id":"58cc65c0-f3c7-4d94-b127-bca46e6f7a48","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":47,"snapshot_sha256":"34df6b7571883ccca8da99487abb1394ab77dde64b8fb8dd41734617296986c0","internal_anchors":1},"formal_canon":{"evidence_count":1,"snapshot_sha256":"32ea7e25e3bf726fb6c961954a133837db162f7cfd78697ea7e6dee818fa553a"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}