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. 2022 Aug 3;16:973698. doi: 10.3389/fninf.2022.973698

TABLE 4.

Prediction performance of the selected features.

Feature Mean ± SD
AUC P ICC
(inter–)
ICC
(intra–)
NSCLC BC EGFR HER2
Wavelet-HLH_glrlm_LongRunEmphasis (F1) –0.003 ± 0.670 – – – 0.594 0.175 0.875 0.864
Wavelet-LHL_glszm_SmallAreaHighGrayLevel Emphasis (F2) –0.004 ± 0.658 – – – 0.753 < 0.001 0.896 0.881
Wavelet-HHH_firstorder_RootMeanSquared (F3) –0.344 ± 0.642 – – – 0767 < 0.001 0.877 0.869
Wavelet-HHH_glrlm_LongRunLowGrayLevel Emphasis (F4) 0.302 ± 0.817 – – – 0.617 < 0.134 0.884 0.873
Lbp-3D-k_firstorder_Mean (F5) 0.145 ± 0.689 – – – 0.658 0.007 0.868 0.882
DL_215 (F6) 0.035 ± 0.789 – – – 0.571 0.106 0.899 0.895
DL_400 (F7) –0.050 ± 0.896 – – – 0.628 0.001 0.852 0.868
Wavelet-HHL_glcm_InverseVariance (F1) – 0.202 ± 0.987 – – 0.725 < 0.001 0.872 0.856
Wavelet-HHH_firstorder_InterquartileRange (F2) – 0.214 ± 0.972 – – 0.718 < 0.001 0.861 0.858
DL_317 (F3) – 0.111 ± 1.114 – – 0.625 0.004 0.863 0.870
DL_144 (F4) – 0.073 ± 1.079 – – 0.661 0.017 0.860 0889
DL_122 (F5) – 0.080 ± 1.001 – – 0.636 0.010 0.869 0.898
Squareroot_glszm_SmallAreaHighGrayLevel Emphasis (F1) – –0.102 ± 0.617 – 0.648 0.008 0.855 0.874
Log-sigma-5-mm.3D_ngtdm_Contrast (F2) – – 0.038 ± 0.838 – 0.623 0.110 0.873 0.894
Wavelet-LHL_firstorder_Skewness (F3) – – –0.059 ± 0.869 – 0.580 0.140 0.902 0.862
Lbp-3D-k_firstorder_MeanAbsoluteDeviation (F4) – – 0.180 ± 0.977 – 0.602 0.119 0.883 0.896
Lbp-3D-m2_glszm_GrayLevelVariance (F5) – – –0.051 ± 0.879 – 0.655 0.008 0.866 0.907
DL_336 (F6) – – 0.213 ± 0.656 – 0.594 0.415 0.911 0.920
Wavelet-LLH_firstorder_10Percentile (F1) – – –0.056 ± 0.891 0.647 0.040 0.857 0.863
Square_ngtdm_Busyness (F2) – – – –0.028 ± 0.555 0.687 0.006 0.881 0.897
DL_317 (F3) – – – 0.082 ± 0.728 0.668 0.032 0.906 0.913
Wavelet-HHL_glcm_Imc1 (F4) – – – 0.031 ± 0.662 0.664 0.024 0.923 0.927
Log-sigma-3-mm-3D_glszm_LargeAreaHighGrayLevel Emphasis (F5) – – – 0.187 ± 0.837 0.653 0.154 0.893 0.8