Fig. 3
From: A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma
Radiomic-feature extraction using the least absolute shrinkage and selection operator (LASSO) regression model. (a) Tenfold cross-validation via the minimum error criterion was used for tuning parameter (λ) selection in LASSO. (b) LASSO coefficient profiles of the 1409 radiomic features. A coefficient-profile plot was generated versus the selected log λ value using tenfold cross-validation