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Radiomic feature selection using the LASSO regression model. We used 10-fold cross-validation to tune parameter (λ) selection in the LASSO model. (a) AUC was plotted vs log(λ). Three features with non-zero coefficients were selected using the minimum criteria. (b) LASSO coefficient profiles of the features. Each colored line represents the coefficient of each feature. AUC, area under thecurve; LASSO, least absolute shrinkage and selection operator.
