{"paper":{"title":"A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DB"],"primary_cat":"cs.CV","authors_text":"Alessandro Catanese, Amr Muhammad Abdo-Salem, Androniki Kozana, Apostolia Tsirikoglou, Carlos Mart\\'in-Isla, Claire-Anne Reidel, Eugen Divjak, Fred Prior, Fredrik Strand, Gordana Ivanac, Javier del Riego, Kaisar Kushibar, Karim Lekadir, Katarzyna Gwo\\'zdziewicz, Katerina Nikiforaki, Kostas Marias, Laura Igual, Lidia Garrucho, Maciej Bobowicz, Maria-Laura Cosaka, Martijn P.A. Starmans, Meltem Gulsun-Akpinar, Michail E. Klontzas, Norhan O. Shawky-Abdelfatah, Oliver D\\'iaz, O\\u{g}uz Lafc{\\i}, Pasant M. Abo-Elhoda, Richard Osuala, Ritse Mann, Rosa Garc\\'ia-Dosd\\'a, Sara W. Tantawy, Shorouq S. Sakrana, Smriti Joshi","submitted_at":"2024-06-19T21:11:46Z","abstract_excerpt":"Artificial Intelligence (AI) research in breast cancer Magnetic Resonance Imaging (MRI) faces challenges due to limited expert-labeled segmentations. To address this, we present a multicenter dataset of 1506 pre-treatment T1-weighted dynamic contrast-enhanced MRI cases, including expert annotations of primary tumors and non-mass-enhanced regions. The dataset integrates imaging data from four collections in The Cancer Imaging Archive (TCIA), where only 163 cases with expert segmentations were initially available. To facilitate the annotation process, a deep learning model was trained to produce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13844","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.13844/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}