Table 1 Mean performance of statistical features across all 11 wavelet bases tested
From: Automatic detection of anomalies in screening mammograms
| Â | DDSM | MIAS | ||||
|---|---|---|---|---|---|---|
Feature§ | Sensitivity* (%) | Specificity†(%) | Classification rate‡(%) | Sensitivity (%) | Specificity (%) | Classification rate (%) |
M | 89.2 | 26.6 | 50.3 | 86.8 | 24.1 | 44.4 |
σ | 94 | 27.6 | 52.8 | 87 | 27.7 | 46.9 |
S | 90.8 | 29.4 | 52.7 | 91.9 | 20.6 | 43.6 |
K | 92.8 | 23.7 | 49.8 | 93.5 | 16.8 | 41.6 |
M + σ | 97.4 | 33.9 | 57.9 | 89.7 | 23.7 | 45 |
M + S | 97.2 | 38.1 | 60.5 | 91.9 | 25.1 | 46.8 |
M + K | 96.1 | 35.6 | 58.5 | 94 | 19.6 | 43.6 |
σ + S | 95.6 | 29.1 | 54.3 | 93.2 | 23.1 | 45.8 |
σ + K | 96.3 | 28.5 | 54.1 | 94.3 | 18 | 42.6 |
S + K | 94.2 | 32.2 | 55.7 | 93.9 | 19.5 | 43.6 |