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

Hou, R., Li, X., Xiong, J., Shen, T., Yu, W., Schwartz, L. H., Zhao, B., Zhao, J., & Fu, X. (2021). Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning. Frontiers in Oncology, 11. https://doi.org/10.3389/fonc.2021.679764
Authors:
Runping Hou
Xiaoyang Li
Junfeng Xiong
Tianle Shen
Wen Yu
Lawrence H Schwartz
Binsheng Zhao
Jun Zhao
Xiaolong Fu
Affiliated Authors:
Lawrence H Schwartz
Binsheng Zhao
Columbia Affiliation:
Author Keywords:
computed tomography
deep learning—convolutional neural networks
epidermal growth factor receptor mutation
lung cancer
transfer learning
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Publication Type:
Article
Unique ID:
10.3389/fonc.2021.679764
PMID:
34354943
DOI:
10.3389/fonc.2021.679764
Journal:
Frontiers in Oncology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: