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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Detalles Bibliográficos
Autores principales: Huang, Weicheng, Wang, Jingyi, Wang, Haolin, Zhang, Yuxiang, Zhao, Fengjun, Li, Kang, Su, Linzhi, Kang, Fei, Cao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092283/
https://www.ncbi.nlm.nih.gov/pubmed/35571081
http://dx.doi.org/10.3389/fphar.2022.898529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092283/
https://www.ncbi.nlm.nih.gov/pubmed/35571081
http://dx.doi.org/10.3389/fphar.2022.898529

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