医学
宫颈癌
放射治疗
医学物理学
机器学习
算法
人工智能
内科学
放射科
癌症
计算机科学
作者
Zhe Wu,Xiaoyue Jia,Lin Lü,Chenxi Xu,Yu Pang,Silong Peng,Mujun Liu,Yi Wu
标识
DOI:10.1016/j.clon.2024.03.022
摘要
AtTranNet showed the feasibility and reasonable accuracy in the dose prediction for cervical cancer in multiple centers. The model can also be generalized for endometrial cancer with different prescriptions without any transfer learning.
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