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 |