Table 3.
20 stable radiomics features in the initial experiment.
| Classification | Feature Parameters |
|---|---|
| “Original” | original_firstorder_Minimum |
| “CoLIAGe” | CoLIAGe2D_WindowSize3_Contrast_firstorder_Maximum |
| CoLIAGe2D_WindowSize3_Contrast_firstorder_Range | |
| CoLIAGe2D_WindowSize3_Sum.Entropy_firstorder_InterquartileRange | |
| CoLIAGe2D_WindowSize5_Sum.Average_firstorder_90Percentile | |
| CoLIAGe2D_WindowSize5_Sum.Average_firstorder_Maximum | |
| CoLIAGe2D_WindowSize7_Entropy_firstorder_Skewness | |
| CoLIAGe2D_WindowSize9_Sum.Average_firstorder_Mean | |
| CoLIAGe2D_WindowSize9_Sum.Average_firstorder_Median | |
| CoLIAGe2D_WindowSize9_Sum.Average_firstorder_RootMeanSquared | |
| CoLIAGe2D_WindowSize9_Sum.Average_firstorder_Skewness | |
| CoLIAGe2D_WindowSize11_Sum.Average_firstorder_10Percentile | |
| CoLIAGe2D_WindowSize11_Sum.Average_firstorder_Mean | |
| CoLIAGe2D_WindowSize11_Sum.Average_firstorder_Median | |
| CoLIAGe2D_WindowSize11_Sum.Average_firstorder_RootMeanSquared | |
| CoLIAGe2D_WindowSize11_Sum.Average_firstorder_Skewness | |
| “DWT + LBP” | wavelet.HHL_lbp.3D.m1_firstorder_Mean |
| wavelet.HHL_lbp.3D.m1_firstorder_Skewness | |
| wavelet.LLL_lbp.3D.m1_firstorder_Kurtosis | |
| wavelet.LLL_lbp.3D.k_firstorder_Skewness |
Take CoLIAGe2D_WindowSize3_Contrast_firstorder_Maximum as an example, CoLIAGe2D represents the type of image conversion, WindowSize3 represents the parameters for conversion, first order represents the feature type, and Maximum represents the name of the feature.