Deep transfer learning-based fully automated detection and classification of Alzheimer's disease on brain MRI.

We used CNN-based TL approaches and the augmentation techniques to overcome the insufficient data problem. Our study provides evidence that deep TL algorithms can be used for both binary and multiclass classification of AD with high accuracy.