Improving Radiotherapy Plan Quality for Nasopharyngeal Carcinoma With Enhanced UNet Dose Prediction

Improving Radiotherapy Plan Quality for Nasopharyngeal Carcinoma With Enhanced UNet Dose Prediction

ABSTRACT Background Individualized dose prediction is critical for optimizing radiation treatment planning. This study introduces DESIRE, an enhanced UNet‐based dose prediction model with progrEssive feature fuSion and dIfficult Region lEarning, tailored for nasopharyngeal carcinoma (NPC) patients r...

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Bibliographic Details
Main Authors: Junming Jian, Xingxing Yuan, Longfei Xu, Changfei Gong, Xiaochang Gong, Yun Zhang
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Cancer Medicine
Subjects:
deep learning
dose prediction
nasopharyngeal carcinoma
volumetric modulated arc therapy
Online Access:https://doi.org/10.1002/cam4.70688
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