Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients

Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients

Abstract This study focused on a novel strategy that combines deep learning and radiomics to predict epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT). A total of 1280 patients with NSCLC who underwent contrast-enhanc...

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Bibliographic Details
Main Authors: Seonhwa Kim, June Hyuck Lim, Chul-Ho Kim, Jin Roh, Seulgi You, Jeong-Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung-won Lee, Sup Kim, Jaesung Heo
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-51630-6

Internet

https://doi.org/10.1038/s41598-024-51630-6

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