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. 2022 Jun 21;12:894696. doi: 10.3389/fonc.2022.894696

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Copyright © 2022 Wang, Zhang, Zhang, Xing, Chen, Nie, Yuan, Su and Lang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The radiomics analysis procedures to build the classification model. Step1: The lesion ROI is outlined on each slice and then combined into a 3D tumor mask. Step 2: PyRadiomics is applied to extract 107 features, including shape, first-order statistics, and texture from each tumor mask (GLCM is an example of a feature processing). Step 3: The sequential feature selection is performed by using SVM, and finally, Step 4: The SVM algorithm is applied to build the classification model.