Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued

BACKGROUND: The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC. METHODS: A total of 381 NPC patients who were divided into high- and low-risk groups accord...

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Detalles Bibliográficos
Autores principales: Li, Song, Wan, Xia, Deng, Yu-Qin, Hua, Hong-Li, Li, Sheng-Lan, Chen, Xi-Xiang, Zeng, Man-Li, Zha, Yunfei, Tao, Ze-Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912633/
https://www.ncbi.nlm.nih.gov/pubmed/36759889
http://dx.doi.org/10.1186/s40644-023-00530-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912633/
https://www.ncbi.nlm.nih.gov/pubmed/36759889
http://dx.doi.org/10.1186/s40644-023-00530-5

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