Fig. 3

Dimensionality reduction and Radiomics Model construction. a The 20 features selected by the mRMR algorithm according to features score. b The 20 features selected by the Random forests algorithm according to features importance. c The correlation analysis heatmap of 33 features screened by the two algorithms above (seven overlapping features were removed). d LASSO regression analysis of 33 features, the vertical line shows the optimal value of λ= 0.041 and 8 corresponding features with non-zero coefficients. e The AUC curve was plotted by tuning parameter (λ) selection performed by 10-fold cross-validation. Vertical lines on the left and right denote the minimum criterion and 1-standard error criterion (1-SE), respectively. The 1-SE criterion was applied