Figure 2.

Feature selection using the LASSO-based logistic regression. (A) Selection of the tuning parameter (λ) using tenfold cross-validation and the minimum criteria. A plot of the partial likelihood deviance was made against log (λ). The minimum and 1-SE criteria were used to draw the dotted vertical lines at the optimal values. (B) Profiles of the LASSO coefficients for the 20 texture features. The vertical line was drawn at a value selected from the log (λ) sequence using tenfold cross-validation. Six features of non-zero coefficients are shown. (C) The selected radiomic features and corresponding coefficients.