Before revision:  The attained validation set accuracies are as high as 99.12\% for the Inception version 3 network and 97.97\% for the Xception network. The presented results suggest that meaningful predictors composed of sMRI and network measures may offer the possibility for early detection of subjects in the early stages of AD .
After revision:  The attained validation set accuracies are as high as 99.12\% for the Inception version 3 network and 97.97\% for the transfer learning approaches exceed the performance of non-transfer learning based approaches demonstrating the effectiveness of these approaches for the binary AD classification task .