Feature selection and LASSO logistic regression results
REGRESSION
A total of 108 radiomic features were extracted from 3D‐T1WI imaging. Among the 108 extracted features, an ICC to or higher than 0.84 were included. To identify the relevant predictors, all explanatory features extracted from MR images of the training set were included in LASSO logistic regression. Features with regression coefficients of zero were eliminated. In the final feature selection with the LASSO method, 58 radiomic features were included from the T1‐weighted, including log‐sigma (