Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning

BACKGROUND: For stage IV patients harboring EGFR mutations, there is a differential response to the first-line TKI treatment. We constructed three-dimensional convolutional neural networks (CNN) with deep transfer learning to stratify patients into subgroups with different response and progression r...

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Detalles Bibliográficos
Autores principales: Hou, Runping, Li, Xiaoyang, Xiong, Junfeng, Shen, Tianle, Yu, Wen, Schwartz, Lawrence H., Zhao, Binsheng, Zhao, Jun, Fu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329710/
https://www.ncbi.nlm.nih.gov/pubmed/34354943
http://dx.doi.org/10.3389/fonc.2021.679764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329710/
https://www.ncbi.nlm.nih.gov/pubmed/34354943
http://dx.doi.org/10.3389/fonc.2021.679764

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