Table 4 Description of extracted features
From: Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning
Feature groups | Description |
|---|---|
GLGCM | 1. Little gradient advantage; 2. Large gradient advantage; 3. Gray heterogeneity; 4. Gradient heterogeneity; 5. Energy; 6. Average gray; 7. Average gradient; 8. Gray mean square error; 9. Gradient mean square error; 10. Correlation; 11. Gray entropy; 12. Gradient entropy; 13. Hybrid entropy; 14. Inertia; 15. Inverse difference moment |
GLCM | 16. Angular second moment; 17. Correlation; 18. Entropy; 19. Contrast; 20. Inverse difference moment; 21. Sum average; 22. Sum entropy; 23. Sum variance; 24. Variance; 25. Dissimilarity; 26. Inertia; 27. Difference variance; 28. Difference entropy |
Histogram | 29. Entropy; 30. Uniformity; 31. Mean intensity; 32. Standard deviation; 33. Kurtosis; 34. Skewness |