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Average SVM classification accuracy as a function of feature extraction method and level of DWT decomposition∗.
| DWT | DWT-Gabor | DWT | DWT-Gabor | |
|---|---|---|---|---|
| Decomposition level | One | One | Two | Two |
| Mammograms | 95.98% (±0.04) | 96.67% (±0.05) | 89.13% (±0.01) | 91.09% (±0.05) |
| Retina | 74.69% (±0.05) | 100% | 90.98% (±0.03) | 100% |
| Brain MRI | 87.80% (±0.00) | 97.36% (±0.02) | 85.76% (±0.00) | 91.18% (±0.04) |
*Tenfold cross-validation used for mammograms and retina images, leave-one-out used for brain MRIs.
