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Updated: Jan 31, 2026

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用切片促使的HR-CTV互动细分用于宫癌支臂疗法:一个多中心研究

Zhao Peng1,2, Chunbo Liu3, Du Tang1,2

  • 1Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.

Medical physics
|January 30, 2026
PubMed
概括

这项研究引入了一个新的AI工具,切片促成交互分段 (SPSeg),用于概述宫癌支臂治疗中的高风险临床目标体积 (HR-CTV). 通过将临床医生的输入与深度学习相结合,SPSeg显著提高了准确性并减少了轮时间.

关键词:
宫癌手臂疗法 宫癌手臂疗法深度学习是一种深度学习.高风险临床目标体积高风险临床目标体积交互式细分的交互式细分.这是一项多中心研究.

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