Table 5: Comparison with the literature.

Features ClassifierAccuracy*

Mammograms
 [3]Gabork-NN80%
 [4]DT-CWTSVM88.64%
 [5]ContourletSVM96.6%
 Our approachDWT-GaborSVM96.67% (±0.05)
Retina
 [1]DWT + GLCMLDA82.2%
 [2]Morphological + GLCMProbabilistic boosting algorithm81.3%–92.2%
71.7%–85.2%
 [39]Gabor SVM83%
 Our approachDWT-GaborSVM100%
Brain
 [6]DWTSVM98%
 [8]DWT + PCABPNN100%
SVM90%
 [38]VoxelsBayes92%
VFI78%
 Our approachDWT-GaborSVM97.36% (±0.02)

Correct classification rate.