Table 6.
Performance evaluation of curvelet-based LBP descriptor algorithm.
| Dataset | Classification | Normal-malignant | Normal-abnormal | Benign-malignant | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Classifier | Sensitivity | Specificity | AUC | Sensitivity | Specificity | AUC | Sensitivity | Specificity | AUC | |
| MIAS | ANN | 0.94 | 0.93 | 0.94 | 0.94 | 0.94 | 0.94 | 1.00 | 0.97 | 0.99 |
| SVM | 0.85 | 0.85 | 0.85 | 0.83 | 0.86 | 0.85 | 0.88 | 0.84 | 0.86 | |
| KNN | 0.67 | 0.63 | 0.65 | 0.58 | 0.57 | 0.58 | 0.62 | 0.68 | 0.63 | |
|
| ||||||||||
| DDSM | ANN | 0.98 | 0.95 | 0.95 | 0.83 | 0.91 | 0.85 | 0.99 | 0.97 | 0.98 |
| SVM | 0.97 | 0.88 | 0.92 | 0.71 | 0.91 | 0.83 | 0.94 | 0.89 | 0.92 | |
| KNN | 0.96 | 0.64 | 0.87 | 0.67 | 0.90 | 0.80 | 0.87 | 0.73 | 0.79 | |
|
| ||||||||||
| TMCH: Scanner1 | ANN | 0.97 | 0.91 | 0.94 | — | — | — | — | — | — |
| SVM | 0.96 | 0.91 | 0.94 | — | — | — | — | — | — | |
| KNN | 0.98 | 0.82 | 0.89 | — | — | — | — | — | — | |
|
| ||||||||||
| TMCH: Scanner2 | ANN | 0.98 | 0.92 | 0.96 | — | — | — | — | — | — |
| SVM | 0.97 | 0.90 | 0.94 | — | — | — | — | — | — | |
| KNN | 0.92 | 0.83 | 0.88 | — | — | — | — | — | — | |