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机译:促进基于级联的圆形卷积神经网络,用于在鼻咽癌的CT器官 - 风险的分割
School of Biomedical EngineeringSouthern Medical University1838 North Guangzhou Avenue Guangzhou;
School of Biomedical EngineeringSouthern Medical University1838 North Guangzhou Avenue Guangzhou;
School of Biomedical EngineeringSouthern Medical University1838 North Guangzhou Avenue Guangzhou;
School of Biomedical EngineeringSouthern Medical University1838 North Guangzhou Avenue Guangzhou;
Department of Radiation OncologySouthern Medical University1838 North Guangzhou Avenue Guangzhou;
School of Biomedical EngineeringSouthern Medical University1838 North Guangzhou Avenue Guangzhou;
boosting; deep learning; nasopharyngeal carcinoma; organs‐at‐risk; segmentation;
机译:促进基于级联的圆形卷积神经网络,用于在鼻咽癌的CT器官 - 风险的分割
机译:基于增强型卷积神经网络的鼻咽癌分割使用多模态度量学习
机译:使用杂交卷积神经网络向鼻咽癌的危险症靶和器官
机译:卷积神经网络在MR图像中自动进行鼻咽癌分割
机译:卷积神经网络的图像基础心血管建模的自动分割和不确定量化
机译:肺癌CT图像中观察者之间的评估与基于深度卷积神经网络的多器官分割风险之间差异的初步临床研究
机译:技术说明:通过卷积神经网络级联放射治疗的器官风险更准确和有效地分割