Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion

Table 10

Classification performance of all comparison methods.

Method	ACC (%)	SEN (%)	SEPC (%)	PPV (%)	NPV (%)
AD-NC
Without feature selection	85.71	79.63	91.38	89.58	82.81
PCA	86.71	83.33	87.93	85.64	85.26
Multikernel SVM	88.39	85.19	91.38	90.20	86.89
Proposed method	92.86	87.04	98.28	97.28	89.06
MCI-NC
Without feature selection	86.11	77.78	94.44	93.33	80.95
PCA	86.11	85.71	86.67	90.00	81.25
Multikernel SVM	91.67	90.47	93.33	95.00	87.50
Proposed method	97.22	95.23	100	100	93.75
AD-MCI
Without feature selection	79.44	88.89	72.22	76.19	86.67
PCA	73.53	81.25	66.67	68.42	80.00
Multikernel SVM	79.41	87.50	72.22	73.68	86.67
Proposed method	91.18	100	83.33	84.21	100
3-way
Without feature selection	75.00	X	X	X	X
PCA	69.23	X	X	X	X
Multi-kernel SVM	79.41	X	X	X	X
Proposed method	85.59	X	X	X	X