Survival rate prediction of nasopharyngeal carcinoma patients based on MRI and gene expression using a deep neural network

To achieve a better treatment regimen and follow‐up assessment design for intensity‐modulated radiotherapy (IMRT)‐treated nasopharyngeal carcinoma (NPC) patients, an accurate progression‐free survival (PFS) time prediction algorithm is needed. We propose developing a PFS prediction model of NPC pati...

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Detalles Bibliográficos
Autores principales: Zhang, Qihao, Wu, Gang, Yang, Qianyu, Dai, Ganmian, Li, Tiansheng, Chen, Pianpian, Li, Jiao, Huang, Weiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067413/
https://www.ncbi.nlm.nih.gov/pubmed/36541519
http://dx.doi.org/10.1111/cas.15704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067413/
https://www.ncbi.nlm.nih.gov/pubmed/36541519
http://dx.doi.org/10.1111/cas.15704

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