Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images

Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images

Abstract 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 Dem...

Full description

Saved in:
Bibliographic Details
Main Authors: Sarah Oraby, Ahmed Emran, Basel El-Saghir, Saeed Mohsen
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Generative adversarial network (GAN)
Convolutional neural network
Medical image classification
Magnetic resonance imaging (MRI)
Alzheimer
Online Access:https://doi.org/10.1038/s41598-025-94677-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-94677-9

Similar Items