Applications of Generative Adversarial Networks in Alzheimer’s Disease Diagnosis and Neuroimaging Data Processing
Highlights: This article systematically reviews the application of a deep learning method—Generative Adversarial Networks (GANs)—in the auxiliary diagnosis of Alzheimer’s Disease (AD) and the processing of neuroimaging data (image denoising, image segmentation, data augmentation, and modality conversion); This article finds that compared to other methods, GANs exhibit higher classification accuracy in AD auxiliary diagnosis tasks … Read more
