To evaluate the accuracy of a deep learning‐based auto‐segmentation mode to that of manual contouring by one medical resident, where both entities tried to mimic the delineation "habits" of the same clinical senior physician.

中文翻译：

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评估基于深度学习的自动分割算法，以描述涉及125例宫颈癌患者数据的临床目标量和风险器官

为了评估基于深度学习的自动分割模式与由一名医疗居民手动绘制轮廓的准确性，两个医疗机构都试图模仿同一临床资深医师的描绘“习惯”。