Research Article
Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features
Table 3
The distribution of various features extracted from images and their ranges.
| Name of features | Number of features (range F1–F115) |
| Texture features | 22 (F1–F22) | Morphology and shape feature | 10 (F23–F32) | Histogram of oriented gradient (HOG) | 36 (F33–F68) | Wavelet features | 32 (F69–100) | Color features | 6 (F101–F106) | Tamura’s features | 3 (F107–F109) | Law’s Texture Energy | 16 (F110–F115) |
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