Add-on individualizing prediction of nasopharyngeal carcinoma using deep-learning based on MRI: A multicentre, validation study

In nasopharyngeal carcinoma, deep-learning extracted signatures on MR images might be correlated with survival. In this study, we sought to develop an individualizing model using deep-learning MRI signatures and clinical data to predict survival and to estimate the benefit of induction chemotherapy...

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Detalles Bibliográficos
Autores principales: Cao, Xun, Chen, Xi, Lin, Zhuo-Chen, Liang, Chi-Xiong, Huang, Ying-Ying, Cai, Zhuo-Chen, Li, Jian-Peng, Gao, Ming-Yong, Mai, Hai-Qiang, Li, Chao-Feng, Guo, Xiang, Lyu, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399485/
https://www.ncbi.nlm.nih.gov/pubmed/36034225
http://dx.doi.org/10.1016/j.isci.2022.104841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399485/
https://www.ncbi.nlm.nih.gov/pubmed/36034225
http://dx.doi.org/10.1016/j.isci.2022.104841

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