Slice-selective learning for Alzheimer's disease classification using a generative adversarial network: a feasibility study of external validation.

Our model learned the generalized features of AD and NC for external validation when appropriate slices were selected. This study showed the feasibility of this model with consistent performance when tested using datasets acquired from a variety of image-acquisition environments.