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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Radiation Oncology
Subjects:
Automatic planning
Deep learning
Dose prediction
Monte Carlo
CyberKnife
Online Access:https://doi.org/10.1186/s13014-024-02531-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13014-024-02531-5

Similar Items