Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival

IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural network in non–small cell lung cancer (NSCLC). OBJECTIVES: To compare the performances of DeepSurv, a deep learning survival neural network with a tumor, node, and metastasis staging system in the pre...

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Detalles Bibliográficos
Autores principales: She, Yunlang, Jin, Zhuochen, Wu, Junqi, Deng, Jiajun, Zhang, Lei, Su, Hang, Jiang, Gening, Liu, Haipeng, Xie, Dong, Cao, Nan, Ren, Yijiu, Chen, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272121/
https://www.ncbi.nlm.nih.gov/pubmed/32492161
http://dx.doi.org/10.1001/jamanetworkopen.2020.5842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272121/
https://www.ncbi.nlm.nih.gov/pubmed/32492161
http://dx.doi.org/10.1001/jamanetworkopen.2020.5842

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