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. 2023;24(6):2061–2072. doi: 10.31557/APJCP.2023.24.6.2061

Table 2.

Feature Extraction Algorithms Used in the Study with Estimated Feature Names

Radiomic feature Category, Feature name and its Feature abbreviation
Gray Level Co-occurrence Matrix (GLCM) Histogram Gray Level Run Length Matrix
(GLRLM)
Neighborhood Intensity
Difference (NID)
Auto Correlation
Cluster Prominence
Cluster Shade
Cluster Tendency
Difference Entropy
Dissimilarity
Entropy
Homogeneity1
InformationMeasureCorr1
InformationMeasureCorr2
Inverse Diff Moment Norm
Inverse Diff Norm
Inverse Variance
Max Probability
Sum Average
Sum Entropy
Sum Variance
Variance
Contrast
Correlation
Energy
Homogeneity2
Energy
Root Mean Square
Variance
Kurtosis
Skewness
Range
Inter Quartile Range
Global Entropy
Global Uniformity
Global Max
Global Mean
Global standard deviation
Mean Absolute Deviation
Gray Level Non uniformity
High Gray Level Run Emphasis
Long Run Emphasis
Long Run High Gray-Level Emphasis
Long Run Low Gray-Level Emphasis
Low Gray-Level Run Emphasis
Run Length Non uniformity
Run Percentage
Short Run Emphasis
Short Run High Gray-Level Emphasis
Short Run Low Gray Level Emphasis
Busyness
Coarseness
Complexity
Contrast
Texture Strength