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Updated: May 2, 2026

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深度学习将成像,剂量和临床数据结合起来,用于预测盆腔放射治疗后的肠道毒性

Behnaz Elhaminia1, Alexandra Gilbert2, Andrew Scarsbrook2

  • 1Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Schools of Computing and Medicine, University of Leeds, Leeds, UK.

Physics and imaging in radiation oncology
|March 6, 2025
PubMed
概括

一个新的深度学习模型整合了3D成像,剂量数据和临床信息,以预测放射治疗毒性. 这种方法提高了对风险因素和对患者结果的解剖学影响的理解.

关键词:
注意力 注意力 注意力 注意力卷积网络是一个卷积网络.深度学习是一种深度学习.盆腔放射疗法 盆腔放射疗法放射治疗中毒性 放射治疗中的毒性毒性预测 毒性预测

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