Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging

待确认 10 由 mark 发布于 2026/7/28 16:06:48

DOI:10.1038/s42256-024-00912-9
作者：Sergios Gatidis, Marcel Früh, Matthias P. Fabritius, Sijing Gu, Konstantin Nikolaou, Christian La Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun
文献类型：期刊论文
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Nature

Abstract：Automated detection of tumour lesions on positron emission tomography–computed tomography (PET/CT) image data is a clinically relevant but highly challenging task. Progress in this field has

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