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Hybrid of DSR-GAN and CNN for Alzheimer Disease Detection Based on MRI Images

Summary by Nature
In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined with a convolutional neural network (CNN) model designed to classify four stages of Alzheimer’s disease (AD): Mild Dementia (MD), Moderate Dementia (MOD), Non-Demented (ND), and Very Mild Dementia (VMD). The proposed DSR-GAN is implemented using a PyTorch library and uses a dataset of 6,400 MRI images. A super-resolution (SR) technique is applied …

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WiscNews broke the news in on Friday, June 27, 2025.
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