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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations

Abstract Background Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife (CK) is essential for precise planning. We aim to employ deep learning to directly predict the 3D dose distribution calculated by the MC algorithm, enabling rapid and accurate automatic pl...

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Principais autores: Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2024-11-01
Series:Radiation Oncology
Assuntos:
Automatic planning
Deep learning
Dose prediction
Monte Carlo
CyberKnife
Acceso en liña:https://doi.org/10.1186/s13014-024-02531-5
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