Fig. 1

Radiomics feature selection with the least absolute shrinkage and selection operator (LASSO) binary logistic regression model. (A) Tuning parameter (l) selection in the LASSO model used five-fold cross-validation with minimum criteria. Left vertical lines indicate the optimal value of the LASSO tuning parameter (λ). (B) LASSO coefficient profile plot with different log (λ). Vertical dashed lines represent 29 radiomics features with nonzero coefficients selected with the optimal λ value