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Table 2 Classification of texture features

From: Texture analysis of pretreatment [18F]FDG PET/CT for the prognostic prediction of locally advanced salivary gland carcinoma treated with interstitial brachytherapy

Classification (number) Features
First-order statistics (14) Energy, entropy, minimum intensity, maximum intensity, mean intensity, median intensity, range, mean deviation, root mean square, standard deviation, skewness, kurtosis, variance, uniformity
Morphology and shape (8) Volume (mm3), surface area (mm2), surface: volume ratio, compactness 1, compactness 2, maximum 3D diameter, spherical disproportion, sphericity
Gray-level co-occurrence matrix (GLCM) (21) Autocorrelation, cluster prominence, cluster shade, cluster tendency, contrast, correlation, difference entropy, dissimilarity, energy (GLCM), entropy (GLCM), homogeneity 1, homogeneity 2, informational measure of correlation 1 (IMC1), inverse difference moment normalized (IDMN), inverse difference normalized (IDN), inverse variance, maximum probability, sum average, sum entropy, sum variance, variance (GLCM)
Gray-level run length matrix (GLRL) (11) Short run emphasis (SRE), long run emphasis (LRE), gray level non-uniformity (GLN), run length non-uniformity (RLN), run percentage (RP), low gray level run emphasis (LGLRE), high gray level run emphasis (HGLRE), short run low gray level emphasis (SRLGLE), short run high gray level emphasis (SRHGLE), long run low gray level emphasis (LRLGLE), long run high gray level emphasis (LRHGLE)