Fig. 3. Radiomics feature selection using the least absolute shrinkage and selection operator (LASSO) logistic regression model in the training cohort.

A. The area under the receiver operating characteristic curve (AUC) was plotted versus log (λ). Dotted vertical lines were drawn at the optimal values by using the minimum criterion and 1 standard error (SE) of the minimum criterion (1-SE criterion) according to 5-fold cross-validation. B. LASSO coefficient profiles of the 125 features were shown. A coefficient profile plot was produced against the log (λ) sequence. A vertical line was drawn at the value selected at which optimal λ resulted in 23 nonzero coefficients.