{"paper":{"title":"Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Adinath Dukre, Adrian Galdran, Alex Wright, Andrew Broad, April Khademi, Biwen Meng, Brian Napora, Charles-Antoine Collins-Fekete, Christian Marzahl, Christof A. Bertram, Daniel Hieber, Dev Kumar Das, Dominik Hirling, Esha Sadia Nasir, Francesco Tortorella, Gennaro Percannella, Guillaume Balezo, Hongyan Gu, Imran Razzak, Izabela Wasiak, Jiaqi Lv, Jie Xiao, Jingxin Liu, Jonas Ammeling, Katharina Breininger, Kaustubh Atey, Lavish Ramchandani, Leire Benito-Del-Valle, Marc Aubreville, Mario Vento, Mateusz Maniewski, Mattia Sarno, Maxime W. Lafarge, Mieko Ochi, Mitko Veta, Mostafa Jahanifar, Naveen Sivadasan, Navya Sri Kelam, Nikolas Stathonikos, Nils Porsche, Nitin Singhal, Norbert Ropiak, Peter Horvath, Piotr Giedziun, Rapha\\\"el Bourgade, Robert Klopfleisch, Sameer Anand Jha, Sara Krauss, Seungho Choe, Shan E Ahmed Raza, Shaojun Liu, Shouhei Hanaoka, Song\\\"ul Varl{\\i}, Sujatha Kotte, Sweta Banerjee, Taryn A. Donovan, Tengyou Xu, Thomas Walter, Vangala Govindakrishnan Saipradeep, Vidushi Walia, Viktor H. Koelzer, Viktoria Weiss, Yasemin Topuz, Yosuke Yamagishi, Yuan Bae, Zhuoyan Shen, Zsanett Zs\\'ofia Iv\\'an","submitted_at":"2026-06-05T15:11:08Z","abstract_excerpt":"Automated mitosis detection is a well-established task in computational pathology. While previous benchmarks focused on scanner-induced domain shift, clinical \"real-world\" application requires models to be robust across the vast variance to be expected in the histological landscape. The MItosis DOmain Generalization (MIDOG) 2025 challenge was designed to evaluate algorithmic performance across unprecedented biological and contextual diversity. We curated a test dataset of 365 cases, encompassing 12 distinct human, canine and feline tumor types, digitized across multiple scanning platforms. Mov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07368","kind":"arxiv","version":1},"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/2606.07368/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"}