The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer

PURPOSE: To investigate the dosimetric impact of deep learning-based auto-segmentation of organs at risk (OARs) on nasopharyngeal and rectal cancer. METHODS AND MATERIALS: Twenty patients, including ten nasopharyngeal carcinoma (NPC) patients and ten rectal cancer patients, who received radiotherapy...

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Detalhes bibliográficos
Publicado no:Radiat Oncol
Main Authors: Guo, Hongbo, Wang, Jiazhou, Xia, Xiang, Zhong, Yang, Peng, Jiayuan, Zhang, Zhen, Hu, Weigang
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2021
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8220801/
https://ncbi.nlm.nih.gov/pubmed/34162410
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-021-01837-y
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