Detection of epithelial growth factor receptor (EGFR) mutations on CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks | Zendy

Xiaoyang Li | Zendy; Junfeng Xiong | Zendy; Tian-Ying Jia | Zendy; Tianle Shen | Zendy; Runping Hou | Zendy; Jun Zhao | Zendy; Xiaolong Fu | Zendy

Open Access

Detection of epithelial growth factor receptor (EGFR) mutations on CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks

Author(s) -

Xiaoyang Li,

Junfeng Xiong,

Tian-Ying Jia,

Tianle Shen,

Runping Hou,

Jun Zhao,

Xiaolong Fu

Publication year - 2018

Publication title -

journal of thoracic disease

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.682

H-Index - 60

eISSN - 2077-6624

pISSN - 2072-1439

DOI - 10.21037/jtd.2018.11.03

Subject(s) - radiomics , medicine , adenocarcinoma , epidermal growth factor receptor , lung cancer , lung , oncology , mutation , radiology , pathology , cancer , gene , biochemistry , chemistry

We aim to analyze the ability to detect epithelial growth factor receptor ( EGFR ) mutations on chest CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks (MCNNs).

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