Machine Learning-Based Radiomics for Prediction of Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma

Identifying an epidermal growth factor receptor (EGFR) mutation is important because EGFR tyrosine kinase inhibitors are the first-line treatment of choice for patients with EGFR mutation-positive lung adenocarcinomas (LUAC). This study is aimed at developing and validating a radiomics-based machine...

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Detalles Bibliográficos
Autores principales: Lu, Jiameng, Ji, Xiaoqing, Wang, Lixia, Jiang, Yunxiu, Liu, Xinyi, Ma, Zhenshen, Ning, Yafei, Dong, Jie, Peng, Haiying, Sun, Fei, Guo, Zihan, Ji, Yanbo, Xing, Jianping, Lu, Yue, Lu, Degan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107363/
https://www.ncbi.nlm.nih.gov/pubmed/35578691
http://dx.doi.org/10.1155/2022/2056837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107363/
https://www.ncbi.nlm.nih.gov/pubmed/35578691
http://dx.doi.org/10.1155/2022/2056837

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