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在基于神经网络方法的肝癌类立体体辐射疗法中,不涉及肝脏剂量预测

Huai-Wen Zhang1, You-Hua Wang2, Bo Hu3

  • 1Department of Radiotherapy, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi Province, China.

World journal of gastrointestinal oncology
|October 30, 2024
PubMed
概括

一个新的神经网络模型准确地预测了肝癌的立体体辐射疗法 (SBRT) 中不涉及的肝脏剂量. 这种方法简化了治疗计划,并通过估计对健康肝脏组织的辐射暴露,提高了患者的安全.

关键词:
剂量预测的预测肝癌是一种肝癌.机器学习 机器学习立体性身体放射疗法 立体性身体放射治疗一个子器官子器官

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