Development and validation of a radiomics-based prediction model for variceal bleeding in patients with Budd-Chiari syndrome-related gastroesophageal varices

Figure 3 The LASSO-regularized Cox regression for radiomics feature selection is illustrated. Ten-fold cross-validation was used to determine the optimal model parameter (λ). A: Relationship between the partial likelihood deviance and log(λ), which aided in selecting the optimal λ value; B: Coefficient profiles of all candidate features as a function of log(λ), with each colored line representing a different feature; C: Trajectories of the feature coefficients relative to the fraction of deviance explained.