Fig. 4From: Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumorsValuable radiomics feature selection of improved risk grouping [LRT* (Types A and AB), HRT* (Types B1, B2 and B3), TC] using LASSO regression. The optimal value of the lasso tuning parameter (alpha = 1.239) was found, and 13 features that corresponded to the optimal alpha value were extracted following coefficients on CECT imagesBack to article page