Table 1: Average SVM classification accuracy as a function of feature extraction method and level of DWT decomposition*.

DWTDWT-GaborDWTDWT-Gabor

Decomposition levelOneOneTwoTwo
Mammograms95.98% ( 0.04)96.67% (±0.05)89.13% (±0.01)91.09% (±0.05)
Retina74.69% (±0.05)100%90.98% (±0.03)100%
Brain MRI87.80% (±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.