PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

Purpose: This study aimed to compare the performance of radiomics and deep learning in predicting EGFR mutation status in patients with lung cancer based on PET/CT images, and tried to explore a model with excellent prediction performance to accurately predict EGFR mutation status in patients with n...

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Bibliographic Details
Main Authors:	Weicheng Huang, Jingyi Wang, Haolin Wang, Yuxiang Zhang, Fengjun Zhao, Kang Li, Linzhi Su, Fei Kang, Xin Cao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-04-01
Series:	Frontiers in Pharmacology
Subjects:	radiomics deep learning EGFR PET/CT lung cancer
Online Access:	https://www.frontiersin.org/articles/10.3389/fphar.2022.898529/full

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