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. 2019 Mar;9(3):453–464. doi: 10.21037/qims.2019.03.02

Table 1. The clustered 6 non-redundant feature groups and the features in each group.

Cluster group Reproducible and non-redundant quantitative imaging feature group
1 IH-Energy, NGTDM-Busyness, SHAPE-Compactness1, SHAPE-ConvHullVol, SHAPE-ConvHullVol_3D, SHAPE-Volume, SHAPE-Mass, SHAPE-SurfaceArea, SHAPE-MeanBreadth, SHAPE-Max_3D_Diam, SHAPE-Number_Of_Voxel, GLRLM-R.L.Nonuniformity, GLRLM-G.L.Nonuniform
2 IH-GlobalEntropy, IH-Variance, GLCM-Entropy, GLCM-SumEntropy, GLCM-DiffEntropy, GLCM-Dissimilarity, NGTDM-Contrast, GLRLM-S.R.L.G.L.Empha, GLRLM-S.R.Emphasis, GLRLM-S.R.H.G.L.Empha, GLRLM-R.Percentage
3 IH-10Percentage, IH-90Percentage, IH-99Percentage, IH-GlobalMean, IH-RootMeanSqua, IH-GlobalMedian, GLCM-AutoCorrelation, GLCM-SumAver, GLCM-SumVariance, GLRLM-H.G.R.L.Empha
4 IH-GlobalUnif, GLCM-InveDiffNorm, GLCM-Homo1, GLCM-Homo2, GLCM-Energy, GLCM-MaxProb, GLRLM-L.R.H.G.L.Empha, GLRLM-L.R.Ephasis, GLRLM-L.R.L.G.L.Empha
5 NGTDM-Coarseness, SHAPE-SurfAreaDens
6 GLRLM-L.G.L.R.Empha
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