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双卷积变压器UNet (DCT-UNet) 用于有风险的器官和临床目标体积细分在MRI中用于宫癌支臂疗法

Gayoung Kim1, Akila N Viswanathan1, Rohini Bhatia1

  • 1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, United States of America.

Physics in medicine and biology
|October 8, 2024
PubMed
概括

一个新的深度学习模型,DCT-UNet,自动对子宫癌基治疗的风险器官和高风险临床目标体积进行细分. 这种人工智能方法显著减少了轮时间,并与手工方法相比提高了准确性.

关键词:
在 HR-CTV 播放.其他经营报告.支臂疗法 (brachytherapy) 是一种治疗方法.宫癌:子宫癌是一种癌症.细分化 细分化的细分化

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