Fig. 3
From: Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images
Selection of radiomics features. The LASSO was used to filter the most relevant features. (A) Selection of tuning parameter (λ). (B) Coefficient of each selected feature. LASSO: least absolute shrinkage and selection operator, MSE: mean square error.
