Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography

Figure 3 Radiomics feature selection. A: The least absolute shrinkage and selection operator of the parameterized method was used to select the image omics features by logistic regression; select the optimal alpha of 0.0297 with log(alpha) of -1.527; B: The coefficients of the radiomics features were used for weighting. LASSO: Least absolute shrinkage and selection operator.