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Radiomics feature selection using the Lasso logistic regression model. (a) Tuning penalization parameter λ (λ) and minimum criterion in the LASSO model. The binomial deviance was plotted vs log (λ). (b) Lasso coefficient profiles of the 3480 radiomics features. The green line showed the optimal λ in the LASSO method with the least partial likelihood deviance. LASSO, least absolute shrinkage and selection operator.
