Fig. 2From: Development and validation of 68Ga-PSMA-11 PET/CT-based radiomics model to detect primary prostate cancerLASSO algorithm and tenfold cross-validation were used to extract the optimal subset of radiomics features. a Optimal tuning parameter (lambda) selection according to partial likelihood deviation of the model. b LASSO coefficient profiles of the 10 features. Using the tenfold cross-validation, a vertical line was drawn at the selected value and nine non-zero coefficients are shownBack to article page