Deep learning‐based dose prediction for low‐energy electron beam superficial radiotherapy

Deep learning‐based dose prediction for low‐energy electron beam superficial radiotherapy

Abstract Background Accurate surface dose calculation is crucial in superficial low‐energy electron beam radiotherapy owing to shallow treatment depths and the risk of skin toxicity. Traditional Monte Carlo (MC) simulations are precise but computationally expensive and time‐consuming. Methods This s...

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Bibliographic Details
Main Authors: Jialin Huang, Zhitao Dai, Shuai Hu, Yuanchun Ye, Yuling Chen, Ming Li, Tianye Niu, Jinfen Zheng, Yongsheng Huang, Yuanjie Bi
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Precision Radiation Oncology
Subjects:
Dose prediction
Deep learning
Monte Carlo simulation
Low‐energy electron beam
Superficial treatment
Radiotherapy
Online Access:https://doi.org/10.1002/pro6.70015
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https://doi.org/10.1002/pro6.70015

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