Fig. 2. Radiomics feature selection by means of the LASSO.

A. LASSO regression with 10-fold cross-validation was applied to select the radiomics features that could predict hematoma expansion. Tuning parameter selection in LASSO regression. B. LASSO coefficient analysis of the 322 radiomics features. Using 10-fold cross-validation, 16 non-zero coefficients were selected.