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Table 2 Parenchymal texture descriptors for breast cancer risk assessment; texture descriptors which have been examined in association with breast cancer risk, classified to five feature groups

From: Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

Grey-level histogram features [51, 5356, 60, 66, 71, 72, 77, 80, 81, 84, 85]
 min intensity skewness 5th percentile energy
 max intensity kurtosis 5th percentile mean root mean square variation
 standard deviation entropy 95th percentile  
 mean intensity sum intensity 95th percentile mean  
Co-occurrence features [51, 5356, 66, 71, 77, 78, 80, 81, 84, 85]
 cluster shade entropy inverse difference moment difference entropy
 correlation inertia sum variance homogeneity
 Haralick correlation difference moment sum average product moment
 energy coarseness difference variance triangular symmetry
Run-length measures [51, 56, 66, 73, 7678]
 long run emphasis gray-level non-uniformity high gray level run emphasis run percentage
 short run emphasis run-length non-uniformity low gray level run emphasis number of runs
Structural/Pattern measures [51, 54, 56, 60, 61, 64, 66, 72, 74, 77, 78, 81, 82, 84, 85, 89]
 fractal dimension local binary pattern Hessian matrix Weber local descriptors
 lacunarity Law’s masks edge enhancing index directional gradient
Multi-resolution/Spectral features [5356, 61, 64, 66, 71, 75, 78, 80, 81, 8385, 89]
 Fourier power spectrum wavelet/Gabor Gaussian Kernels power-law spectrum