{"paper":{"title":"Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aliasghar Mortazi, Chenchen Sun, Cheng Bian, Chengjia Wang, Christian Payer, Chunliang Wang, Darko Stern, David Firmin, David Newby, Gaetan Galisot, Guang Yang, Guanyu Yang, Guodong Zeng, Guoyan Zheng, Jean-Yves Ramel, Jennifer Keegan, Julien Oster, Kawal Rhode, Lei Li, Martin Urschler, Mattias P. Heinrich, Orjan Smedby, Pheng-Ann Heng, Qianqian Tong, Raad Mohiaddin, Sebastien Ourselin, Thierry Brouard, Tom MacGillivray, Ulas Bagci, Weixin Si, Xiahai Zhuang, Xiangyun Liao, Xin Yang, Zenglin Shi","submitted_at":"2019-02-21T06:18:30Z","abstract_excerpt":"Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the anatomy and functions of the heart. However, automating this segmentation can be arduous due to the large variation of the heart shape, and different image qualities of the clinical data. To achieve this goal, a set of training data is generally needed for constructing priors or for training. In addition, it is difficult to perform comparisons between different methods, largely due t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07880","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":""},"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"}