Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

Table 8

Algorithm performance comparison for MRI brain image.

Algorithm	Accuracy (%)	Sensitivity (%)	Specificity (%)	Precision (%)
DTCWT + PCA + FNN (proposed)	90.06 ± 0.01	92.00 ± 0.04	87.78 ± 0.04	89.6 ± 0.03
VBM + RF [38]	89.0 ± 0.7	87.9 ± 1.2	90.0 ± 1.1	N/A
DF + PCA + SVM [40]	88.27 ± 1.9	84.93 ± 1.21	89.21 ± 1.6	69.30 ± 1.91
EB + WTT + SVM + RBF [56]	86.71 ± 1.93	85.71 ± 1.91	86.99 ± 2.30	66.12 ± 4.16
BRC + IG + SVM [34]	90.00	96.88	77.78	N/A
BRC + IG + VFI [34]	78.00	65.63	100.00	N/A
Curvelet + PCA + KNN [35]	89.47	94.12	84.09	N/A
US + SVD-PCA + SVM-DT [36]	90.00	94.00	71.00	N/A