Fig. 2From: Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogramEmploying the least absolute shrinkage and selection operator (LASSO) approach to select radiomics features from CT images. A The optimal penalty coefficient lambda (λ) for the feature of the CT images was obtained based on 10-fold cross-validation. B LASSO coefficient profiles of the 12 radiomics featuresBack to article page