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盆腔网 (PelviNet):一个协作式的多代理卷积网络,用于增强盆腔图像注册

Rguibi Zakaria1, Hajami Abdelmajid2, Zitouni Dya2

  • 1LAVETE Laboratory, Hassan First University, Settat, Morocco. rguibi.fst@uhp.ac.ma.

Journal of imaging informatics in medicine
|September 9, 2024
PubMed
概括

PelviNet是一个新的多代理卷积网络,使用同步学习精确地记录盆腔图像. 这种先进的AI实现了卓越的地标识别准确性,这对于放射治疗和医学成像至关重要.

关键词:
医疗图像分析 医学图像分析多个代理强化学习学习多个代理强化学习学习盆腔图像注册 盆腔图像注册

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