Table 1.
Summary of 13 Textural Features and 11 Shape Features that Represent Each ROI
| Class | Descriptor | Dimension |
|---|---|---|
| Texture features | Histogram | Density mean |
| Density SD | ||
| Skewness | ||
| Kurtosis | ||
| Gradient | Gradient mean | |
| Gradient SD | ||
| Run-length matrix | Short primitive emphasis | |
| Lung primitive emphasis | ||
| Co-occurrence matrix | Angular second moment | |
| Contrast | ||
| Correlation | ||
| Inverse difference moment | ||
| Entropy | ||
| Shape features | Top-hat transform | White top-hat mean |
| White top-hat SD | ||
| Black top-hat mean | ||
| Black top-hat S.D. | ||
| Cluster | Number of cluster | |
| Area mean | ||
| Area SD | ||
| Circularity mean | ||
| Circularity SD | ||
| Aspect ratio mean | ||
| Aspect ratio SD |