Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Kafrelsheikh University · University of Business and Technology · +4 more institutions
Abstract
Alzheimer’s Disease (AD) is a worldwide concern impacting millions of people, with no effective treatment known to date. Unlike cancer, which has seen improvement in preventing its progression, early detection remains critical in managing the burden of AD. This paper suggests a novel AD-DL approach for detecting early AD using Deep Learning (DL) Techniques. The dataset consists of pictures of brain magnetic resonance imaging (MRI) used to evaluate and validate the suggested model. The method includes stages for pre-processing, DL model training, and evaluation. Five DL models with autonomous feature extraction and binary classification are shown. The models are divided into two categories: without Data…
Citation impact
- FWCI
- 25.90
- Percentile
- 100%
- References
- 70
Authors
6- SEShaymaa E. SorourCorresponding
Kafrelsheikh University, University of Business and Technology, King Faisal University
- AAAmr A. Abd El-Mageed
Sohag University
- KMKhalied M. Albarrak
University of Business and Technology, King Faisal University
- AKAbdulrahman K. Alnaim
University of Business and Technology, King Faisal University
- AAAbeer A. Wafa
Helwan University
Topics & keywords
- Artificial intelligence
- Support vector machine
- Computer science
- Deep learning
- Transfer of learning
- Recall
- Machine learning
- Binary classification