Table 6.

Results of all systems in this work to diagnose images of MRI for classifying of AD progression.

Techniques		Features	Mild-Dementia	Moderate-Dementia	Non-Dementia	Very-Mild-Dementia	Accuracy %
FFNN network		GoogLeNet	88.8	69.2	97.7	94	94.8
		DenseNet-121	83.2	69.2	97	93.5	93.6
FFNN network	Combined features before PCA	GoogLeNet + DenseNet-121	94.4	69.2	98.6	97.1	97.2
	Combined of features after PCA	GoogLeNet + DenseNet-121	96.1	92.3	99.2	99.3	98.8
	Combined features	GoogLeNet and handcrafted	98.9	100	99.8	99.1	99.5
		DenseNet-121 and handcrafted	99.4	100	99.7	99.8	99.7