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The pipeline of the algorithm used in gene classification. For each preoperative CT image, 326 radiomic features were extracted after manually segmenting the CT images. Following surgical resection pancreatic tumor, HMGA2 and C-MYC expressions of the pancreatic tumor were classified using support vector machine with the selected radiomic features. K-fold cross-validation is used to evaluate the classification model.
