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Objective To develop and validate a computed tomography (CT)-based radiomics nomogram for predicting human epidermal growth factor receptor 2 (HER2) status in patients with gastric cancer. Methods This retrospective study included 134 patients with gastric cancer (HER2-negative n=87; HER2-positive n=47) from April 2013 to March 2018, who were then randomly divided into training (n=94) and validation (n=4 cohorts. Radiomics features were obtained from the CT images showing gastric cancer. Least absolute shrinkage and selection operator
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