A deep learning model to predict dose distributions for breast cancer radiotherapy

A deep learning model to predict dose distributions for breast cancer radiotherapy

Abstract Purpose In this work, we propose to develop a 3D U-Net-based deep learning model that accurately predicts the dose distribution for breast cancer radiotherapy. Methods This study included 176 breast cancer patients, divided into training, validating and testing sets. A deep learning model b...

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Bibliographic Details
Main Authors: Xiaorong Hou, Weishi Cheng, Jing Shen, Hui Guan, Yimeng Zhang, Lu Bai, Shaobin Wang, Zhikai Liu
Format: Article
Language:English
Published: Springer 2025-02-01
Series:Discover Oncology
Subjects:
Deep learning
Dose prediction
Breast cancer
Dose optimization and planning
Online Access:https://doi.org/10.1007/s12672-025-01942-4
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https://doi.org/10.1007/s12672-025-01942-4

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