Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer

Figure 2 Least absolute shrinkage and selection operator regression model for screening the radiomics characteristics of the training group. A: Screening of the radiomics features was performed through least absolute shrinkage and selection operator (Lasso) regression. The cross validation for Lasso regression, where the parameter λ was adjusted to find the best function set, is shown. The vertical dotted line on the left panel represents the log(λ) corresponding to the optimal λ; B: Screening of the radiomics features was performed through Lasso regression. The coefficients of texture parameters changed with λ. The vertical line corresponds to the 10 features selected with non-zero Lasso cross-validation coefficients. MSE: Mean-square error.