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Article

High accuracy epidermal growth factor receptor mutation prediction via histopathological deep learning.

BMC pulmonary medicine - 5 Jul 2023

Zhao Dan, Zhao Yanli, He Sen, Liu Zichen, Li Kun, Zhang Lili, Zhang Xiaojun, Wang Shuhao, Che Nanying, Jin Mulan

Abstract excerpt

BACKGROUND: The detection of epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer is critical for tyrosine kinase inhibitor therapy. EGFR detection requires tissue samples, which are difficult to obtain in some patients, costing them the opportunity for further treatment. To realize EGFR mutation prediction without molecular detection, we aimed to build a high-accuracy...

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Adenocarcinoma
AI in cancer detection
Carcinoma, Non-Small-Cell Lung
Deep Learning
ErbB Receptors

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Radiomics and Machine Learning in Medical Imaging

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PMID: 37407963
DOI: 10.1186/s12890-023-02537-x
PMCID: PMC10320949

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