Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function

Brain Informatics

Table 2 Results of proposed models on the OASIS dataset

Models	Sensitivity	Specificity	1-Sensitivity	1-Specificity	Accuracy
Siamese CNN	0.9390	0.9561	0.0609	0.0439	0.9385
Siamese CNN with VGG16	0.9216	0.970	0.0784	0.029	0.9217
VGG16 (as classifier)	0.903	0.960	0.186	0.129	0.9020