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Consistency evaluation and performance optimization of deep learning-based auto-contouring for nasopharyngeal carcinoma

Abstract Contour delineation is crucial for ensuring the efficacy and side effects of radiotherapy (RT), but it inevitably involves inter-observer variability (IOV). Deep learning (DL) models have been used to assist in contour delineation, but further evaluation is needed to guide healthcare profes...

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Principais autores: Linghui Yan, Yuhao Lin, Zirong Li, Liuling Wang, Xiaoting Lin, Jianming Ding, Zixuan Leng, Qichao Zhou, Chuanben Chen, Zhaodong Fei
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2025-12-01
Series:Scientific Reports
Assuntos:
Radiotherapy (RT)
Nasopharyngeal carcinoma (NPC)
Contour delineation
Deep learning (DL) models
Acceso en liña:https://doi.org/10.1038/s41598-025-33567-6
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