| | Parent matrix | Feature measure |
| | Cooccurrence matrix [17] | Second angular moment, contrast, entropy, homogeneity, dissimilarity, inverse difference moment | | Voxel-alignment matrix [19] | Short-run emphasis, long-run emphasis, intensity variability, run-length variability, run percentage, low-intensity run emphasis, high-intensity run emphasis, low-intensity short-run emphasis, high-intensity short-run emphasis, low-intensity long-run emphasis, high-intensity long-run emphasis | | Neighborhood intensity difference matrix [20] | Coarseness, contrast, busyness, complexity, strength | | Intensity size-zone matrix [21] | Short-zone emphasis, large-zone emphasis, intensity variability, size-zone variability, zone percentage, low-intensity zone emphasis, high-intensity zone emphasis, low-intensity short-zone emphasis, high-intensity short-zone emphasis, low-intensity large-zone emphasis, high-intensity large-zone emphasis | | Normalized cooccurrence matrix [17] | Second angular moment, contrast, entropy, homogeneity, inverse difference moment, dissimilarity, correlation | | Voxel statistics | Minimum SUV, maximum SUV, mean SUV, SUV variance, SUV SD, SUV skewness, SUV kurtosis, SUV skewness (bias corrected), SUV kurtosis (bias corrected), TLG, tumor volume, entropy, SULpeak | | Texture spectrum [15] | Max spectrum, Black-white symmetry | | Texture feature coding [16] | Coarseness, homogeneity, mean convergence | | Texture feature coding cooccurrence matrix [16] | Second angular moment, contrast, entropy, homogeneity, intensity, inverse difference moment, correlation, variance, code similarity | | Neighborhood gray-level dependence [22] | Small-number emphasis, large-number emphasis, number nonuniformity, second moment, entropy |
|
|
