Deep learning for the prediction of residual tumor after radiotherapy and treatment decision-making in patients with nasopharyngeal carcinoma based on magnetic resonance imaging

BACKGROUND: Concurrent chemoradiotherapy (CCRT) and induction chemotherapy (IC) plus CCRT (IC + CCRT) are the main treatments for patients with advanced nasopharyngeal carcinoma (NPC). We aimed to develop deep learning (DL) models using magnetic resonance (MR) imaging to predict the risk of residual...

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Detalles Bibliográficos
Autores principales: Hua, Hong-Li, Li, Song, Huang, Huan, Zheng, Yong-Fa, Li, Fen, Li, Sheng-Lan, Deng, Yu-Qin, Tao, Ze-Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240011/
https://www.ncbi.nlm.nih.gov/pubmed/37284077
http://dx.doi.org/10.21037/qims-22-1226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240011/
https://www.ncbi.nlm.nih.gov/pubmed/37284077
http://dx.doi.org/10.21037/qims-22-1226

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