Fig. 2From: Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogramLASSO coefficient profiles of the 851 texture features. a Selection of radiomic features using the LASSO regression method. Optimal penalization coefficient lambda (λ = 0.12) in the LASSO model tuned using tenfold cross-validation and the minimum criterion (b) LASSO. LASSO, least absolute shrinkage and selection operatorBack to article page