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Using CT image-based radiomics to predict EGFR mutations in lung adenocarcinoma

2023-05-26

Abstract excerpt

OBJECTIVE To investigate the value of CT radiomics in predicting epidermal growth factor mutation status in lung cancer. MATERIALS AND METHODS Data from Hospital 1 (n = 119) and Hospital 2 (n = 49) were used as the internal dataset and data from the Cancer Genome Project (TCGA) database (n = 14) were used as the external validation set. After image segmentation, feature extraction and feature downscaling screening...

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Literature Corpus work
23ee7a8b-827c-5cbc-9185-108f8701c18b
DOI
10.21203/rs.3.rs-2911251/v1
Open publication

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Using CT image-based radiomics to predict EGFR mutations in lung adenocarcinomaDOI 10.21203/rs.3.rs-2911251/v1
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