Deep learning-powered radiotherapy dose prediction: clinical insights from 622 patients across multiple sites tumor at a single institution

Deep learning-powered radiotherapy dose prediction: clinical insights from 622 patients across multiple sites tumor at a single institution

Abstract Purpose Accurate pre-treatment dose prediction is essential for efficient radiotherapy planning. Although deep learning models have advanced automated dose distribution, comprehensive multi-tumor analyses remain scarce. This study assesses deep learning models for dose prediction across div...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhen Hou, Lang Qin, Jiabing Gu, Zidong Liu, Juan Liu, Yuan Zhang, Shanbao Gao, Jian Zhu, Shuangshuang Li
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Radiation Oncology
Subjects:
Deep learning
Dose prediction
Radiotherapy
Multi-tumor
Online Access:https://doi.org/10.1186/s13014-025-02634-7
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items