A novel CNN architecture for accurate early detection and classification of Alzheimer’s disease using MRI data

A novel CNN architecture for accurate early detection and classification of Alzheimer’s disease using MRI data

Abstract Alzheimer’s disease (AD) is a debilitating neurodegenerative disorder that requires accurate diagnosis for effective management and treatment. In this article, we propose an architecture for a convolutional neural network (CNN) that utilizes magnetic resonance imaging (MRI) data from the Al...

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Bibliographic Details
Main Authors: A. M. El-Assy, Hanan M. Amer, H. M. Ibrahim, M. A. Mohamed
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease
Convolutional neural network
Deep learning
Intelligent systems
Explain ability
Online Access:https://doi.org/10.1038/s41598-024-53733-6

Internet

https://doi.org/10.1038/s41598-024-53733-6

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