Future University In Egypt (FUE)

Staff Research

Paper Title :
Author : HEBA MOHSEN MOHAMED MOSAAD HUSSIEN
CoAuthors : El-Sayed A. El-Dahshan, El-Sayed El-Horbaty, Abdel-Badeeh Salem
Source : Egyptian Computer Science Journa
Date of Publication : 09/2017
Abstract : Alzheimer’s disease (AD) is known to be the most common cause of neurodegenerative dementia that affects people over 65 years. It’s an irreversible, progressive brain disorder that slowly destroys memory and thinking skills, and eventually the ability to carry out the simplest tasks and it has no treatment till now expect slowing down its symptoms if it was diagnosed in early stages. The diagnosis of AD includes mental status, physical exam and neurological exam, which is analyzing different imaging techniques such as magnetic resonance images (MRI). And accordingly, AD become a challenging wide area of research in the medical images application that aims to find a reliable methodology that can early detect and differential diagnosis of cognitive normal (CN), mild cognitive impairment (MCI) and AD by examining the brain MRIs. In this work, we proposed a methodology based on Discrete Wavelet Transform (DWT) feature extraction technique and Principal Component Analysis (PCA) for feature vector reduction then these features are entered to linear discriminant analysis (LDA) classifier. The performance of the proposed methodology was evaluated using two datasets obtained from Alzheimer's Disease Neuroimaging Initiative (ADNI) database and Harvard Medical School website. Our methodology achieved 94.59%average classification rate with AUC of ROC = 0.963over Harvard medical school dataset and 77.78% average classification rate with area under the ROC curve (AUC) = 0.809 over ADNI dataset using a 6-fold cross validation.
Download PDF
BACK
  • Research Centers

    With the growing emphasis on collaborative and interdisciplinary science, Research Centers have become indispensable to highly ranked universities. They gain their importance from the outstanding role they play in enhancing the academic activities, in general, and post graduate reputation and scientific ranking in particular. Realizing this fact, Future University in Egypt (FUE) have decided and allocated sufficient funds and infrastructure to establish FUE Research Center (FUERC) having the following vision, mission, and goals

    read more
  • Continuing Education

    Future University in Egypt’s Department of Continuing Education (DCE) is dedicated to bridging the gap between the capabilities

    read more
  • FUE Pharmaceutical Factory

    The Future Factory for Industrial Training’s (FFIT) aim is to be recognized for its unique training facility as well as its advanced techniques. As a result, we established a training pharmaceutical plant, that provides an actual simulation of an industrial atmosphere with the processes and procedures that take place in the manufacturing world.

    read more
  • FUE Dental Hospital

    FUE has maintained a highly reputable dental faculty over the years, therefore the development of the Dental Hospital is a step towards the FUE goal of providing the best dental academic programs

    read more
Community service unit at Faculty of Pharmaceutical Sciences and Pharmaceutical Industries, launches Q&A about Covid-19.

Community service unit at Faculty of Pharmaceutical Sciences and Pharmaceutical Industries, launches Q&A about Covid-19.

COVID-19 Awareness
FUEscientificJournals

VISIT FUE

Take a step to<br>Future<br>For a better future

Address

End of 90th St., Fifth Settlement,
New Cairo, Egypt

Hotline

Inside Egypt: 16383 (16FUE)

Outside Egypt: +20216383, +2026186100

Copyright © 2023 [Future University in Egypt]. All rights reserved.