Table 2 High-frequency radiomic features (selection count > 500) from initial bootstrap screening. Blue highlighting indicates bilateral manifestations.

From: Radiomic features and carotid stenosis in periodontitis a two stage bootstrap and multimodal machine learning study

Feature

Frequency

Original_shape_Elongation_2

997

Original_shape_Sphericity_1

918

Original_ngtdm_Contrast_2

918

Original_shape_LeastAxisLength_2

890

Original_shape_Sphericity_2

878

Original_firstorder_Kurtosis_1

828

Original_shape_Elongation_1

798

Original_firstorder_Median_1

794

Original_glszm_LargeAreaLowGrayLevelEmphasis_2

792

Original_glcm_DifferenceVariance_1

789

Original_glcm_MaximumProbability_1

787

Original_firstorder_InterquartileRange_2

763

Original_shape_Maximum2DDiameterRow_1

724

Original_shape_Maximum2DDiameterRow_2

711

Original_shape_MinorAxisLength_1

710

Original_firstorder_RobustMeanAbsoluteDeviation_1

703

Original_shape_Maximum2DDiameterSlice_2

701

Original_shape_Flatness_1

691

Original_firstorder_90Percentile_2

659

Original_firstorder_Skewness_1

599

Original_glcm_Imc2_1

585

Original_glszm_LargeAreaHighGrayLevelEmphasis_2

563

Original_shape_MinorAxisLength_2

550

Original_firstorder_Skewness_2

525

Original_glcm_Correlation_2

521

Original_ngtdm_Strength_2

505

  1. The features in bold appear with high frequency in both the upper and lower .
  2. Second-stage optimal feature selection.