Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

Quantitative organ assessment is an essential step in automated abdominal disease diagnosis and treatment planning. Artificial intelligence (AI) has shown great potential to automatize this process. However, most existing AI algorithms rely on many expert annotations and lack a comprehensive evaluat...

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Veröffentlicht in:	arXiv.org 2023-08
Hauptverfasser:	Ma, Jun, Zhang, Yao, Gu, Song, Cheng, Ge, Ma, Shihao, Adamo, Young, Zhu, Cheng, Meng, Kangkang, Yang, Xin, Huang, Ziyan, Zhang, Fan, Liu, Wentao, Pan, YuanKe, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Xu, Weixin, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Wu, Yajun, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, the FLARE Challenge Consortium, Wang, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Algorithms Annotations Artificial intelligence Computed tomography
Online-Zugang:	Volltext
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