title: Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.
abstract: The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. This article presents a proposed computer-aided diagnosis (CAD) system for extracting the most effective and significant features of Alzheimer's disease (AD) using these different discrete transform techniques and MFCC techniques. Linear support vector machine has been used as a classifier in this article. Experimental results conclude that the proposed CAD system using MFCC technique for AD recognition has a great improvement for the system performance with small number of significant extracted features, as compared with the CAD system based on DCT, DST, DWT, and the hybrid combination methods of the different transform techniques.
authors.affiliation: Department of Computer Science and Engineering, Faculty of Electronic Engineering, University of Menoufia, Menoufia, Egypt mohamed.moawad@el-eng.menofia.edu.eg.
authors.forename: Mohamed M
authors.initials: MM
authors.lastname: Dessouky
authors.affiliation: Department of Computer Science and Engineering, Faculty of Electronic Engineering, University of Menoufia, Menoufia, Egypt.
authors.forename: Mohamed A
authors.initials: MA
authors.lastname: Elrashidy
authors.affiliation: Department of Computer Science and Engineering, Faculty of Electronic Engineering, University of Menoufia, Menoufia, Egypt.
authors.forename: Taha E
authors.initials: TE
authors.lastname: Taha
authors.affiliation: Department of Computer Science and Engineering, Faculty of Electronic Engineering, University of Menoufia, Menoufia, Egypt.
authors.forename: Hatem M
authors.initials: HM
authors.lastname: Abdelkader
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000175:diagnosis*; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D060388:Support Vector Machine
keywords: Alzheimer’s disease (AD); computer-aided diagnosis (CAD); discrete transforms; feature extraction; magnetic resonance imaging (MRI)