Fig. 2From: MRI-based radiomics analysis improves preoperative diagnostic performance for the depth of stromal invasion in patients with early stage cervical cancerRadiomics feature selection using the least absolute shrinkage and selection operator (LASSO) regression method. a The optimal λ was selected as the lowest binomial in the LASSO model using fivefold cross-validation. b LASSO coefficient profiles of the features show vertical lines that are drawn at the value selected using fivefold cross-validation, and the optimal λ results in 5 nonzero coefficientsBack to article page