Predicting EGFR and PD-L1 Status in NSCLC Patients Using Multitask AI System Based on CT Images

Predicting EGFR and PD-L1 Status in NSCLC Patients Using Multitask AI System Based on CT Images

BackgroundEpidermal growth factor receptor (EGFR) genotyping and programmed death ligand-1 (PD-L1) expressions are of paramount importance for treatment guidelines such as the use of tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) in lung cancer. Conventional identification...

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Bibliographic Details
Main Authors: Chengdi Wang, Jiechao Ma, Jun Shao, Shu Zhang, Zhongnan Liu, Yizhou Yu, Weimin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Immunology
Subjects:
EGFR
PD-L1
NSCLC
deep learning
computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.813072/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.813072/full

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