Similarly, in Table 5 , for binary classification between AD and NC classes using MRI modality, an interesting trend can be seen, in which RCI, average CEN, IBA, GM, and MCC metrics agree that the best classification model is the 3D-CNN architecture trained using random zoomed (in/out) augmentation method while the worst classification model is the 3D-CNN architecture trained using random weak Gaussian blurred augmentation method.
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On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods.
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