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. 2018 Jun 21;2018:4605191. doi: 10.1155/2018/4605191

Table 1.

Features extracted in traditional model.

Feature category Feature description
First-order features FT1: Energy, FT2: Entropy, FT3: Minimum, FT4: 10th percentile, FT5: 90th percentile, FT6: Maximum, FT7: Mean, FT8: Median, FT9: Interquartile Range, FT10: Range, FT11: Mean Absolute Deviation (MAD), FT12: Robust Mean Absolute Deviation (rMAD), FT13: Root Mean Square (RMS), FT14: Standard Deviation, FT15: Skewness, FT16: Kurtosis, FT17: Variance, FT18: Uniformity

Texture features Global texture features:
FM1: Variance, FM2: Skewness, FM3: Kurtosis
Gray-Level Cooccurrence Matrix (GLCM) texture features:
FM4: Energy, FM5: Contrast, FM6: Correlation, FM7: Homogeneity, FM8: Variance, FM9: Sum Average, FM10: Entropy, FM11: Dissimilarity, FM12: Autocorrelation

Morphological features FB1: Circularity, FB2: Elongation, FB3: Compactness, FB4: Roughness, FB5: Orientation, FB6: Radial distance standard deviation, FB7: Maximum chord length, FB8: Second moment