{"paper":{"title":"The Liver Tumor Segmentation Benchmark (LiTS)","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adi Szeskin, Akshay Pai, Alexandre Hostettler, Andrea Schenk, Anjany Sekuboyina, An Tang, Avi Ben-Cohen, Avinash Kori, Benedikt Wiestler, Bjoern Menze, Bogdan Georgescu, Bram van Ginneken, Chi-Wing Fu, Christian H\\\"ulsemeyer, Christian Igel, Christian Wachinger, Christopher Pal, Chunliang Wang, Colin Jacobs, Daguang Xu, Dorit Merhof, Erik B. Dam, Eugene Vorontsov, Fabian Isensee, Fabian Loh\\\"ofer, Fan Li, Felix Gruen, Felix Hofmann, Fernando Navarro, Florian Ettlinger, Florian Kofler, Fucang Jia, Gabriel Chartrand, Gabriel Efrain Humpire Mamani, Ganapathy Krishnamurthi, Georgios Kaissis, Grzegorz Chlebus, Hans Meine, Hao Chen, Hayit Greenspan, Hongchao Li, Hongwei Bran Li, Ignacio Sarasua, Ildoo Kim, Ivan Ezhov, Jacob Sosna, Jae-Hun Kim, Jana Lipkov\\'a, Jan Hendrik Moltz, Jan Kirschke, Jens Petersen, Jianrong Wu, Jin Qi, Johannes C. Paetzold, John Lowengrub, Jordi Pont-Tuset, Jordi Torres, Jorge Cardoso, Julian Walter Holch, Junbo Li, Jun Ma, J\\\"urgen Hesser, Karsten Roth, Kevis-Kokitsi Maninis, Klaus Maier-Hein, Krishna Chaitanya Kaluva, Lei Bi, Leo Joskowicz, Leon Weninger, Liping Zhang, Luc Soler, Mahendra Khened, Marcel Beetz, Marie Piraud, Markus Rempfler, Mathias Perslev, Miao Yu, Michal Drozdzal, Michal Marianne Amitai, Michela Antonelli, M\\'iriam Bellver, Naama Lev-Cohain, Oliver Rippel, Patrick Bilic, Patrick Christ, Paul J\\\"ager, Pheng-Ann Heng, Qi Dou, Refael Vivantik, Rickmer Braren, Samuel Kadoury, Simon Chun-Ho Yu, Simon Kohl, Spyridon Bakas, Sungwoong Kim, Suprosanna Shit, Tomasz Konopczynski, Volker Heinemann, Wieland Sommer, Woong Bae, Xavier Gir\\'o-i-Nieto, Xiaobin Hu, Xiaojuan Qi, Xiaomeng Li, Xiaoping Yang, Xu Han, Yading Yuan, Zengming Shen, Zhiheng Zhang","submitted_at":"2019-01-13T20:38:16Z","abstract_excerpt":"In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04056","kind":"arxiv","version":2},"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/1901.04056/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"}