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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Detalles Bibliográficos
Autores principales: Guo, Hongbo, Wang, Jiazhou, Xia, Xiang, Zhong, Yang, Peng, Jiayuan, Zhang, Zhen, Hu, Weigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220801/
https://www.ncbi.nlm.nih.gov/pubmed/34162410
http://dx.doi.org/10.1186/s13014-021-01837-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220801/
https://www.ncbi.nlm.nih.gov/pubmed/34162410
http://dx.doi.org/10.1186/s13014-021-01837-y

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