Fig. 3

Radiomic feature selection using LASSO logistic regression. a Selection of the tuning parameter (λ). The LASSO regression model was used with penalty parameter tuning that was conducted by 10-fold cross-validation based on minimum criteria. The binomial deviance was plotted versus log (λ). The dotted vertical lines were plotted at the optimal λ values based on the minimum criteria and 1 standard error of the minimum criteria. The optimal λ value of 0.0809 with log (λ) = −2.515 was selected. b LASSO coefficient profiles of the 385 radiomic features. The dotted vertical line was plotted at the λ value of 0.0809, resulting in five nonzero coefficients