Bulletin de la Société Royale des Sciences de Liège Bulletin de la Société Royale des Sciences de Liège -  Volume 85 - Année 2016  Actes de colloques  Special edition 

A Survey of Alzheimer’s disease using Fuzzy Neural Network

Ghorbani Behnaz
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran, behnaz.ghorbani@gmail.com
Kazemi Manoucher
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran, univer_ka@yahoo.com, m.kazemi@aiau.ac.ir
Nadi Senejani Mahdieh
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran, nadi.mahdieh@aiau.ac.ir

Abstract

Alzheimer disease is one of the most common diseases in the aging population, ranking as the fourth most common cause of death and it is a progressive neurodegenerative disorder characterized by the gradual onset of dementia. Magnetic resonance imaging (MRI) is a preferred neuro imaging examination for Alzheimer disease diagnosis. It allows accurate 3-dimensional (3D) volume measurement of brain structures. The primary role of MRI in the diagnosis of Alzheimer disease is the assessment of volume change in characteristic locations. The diagnosis should be made on the basis of two features:

mesial temporal lobe atrophy and temporoparietal cortical atrophy.

Computer implementations increased the accuracy and performance of detecting undergoing changes in affected brain areas. It uses Image Segmentation and integrating of its algorithms provides simpler guidance for the diagnosis process. This paper provides a survey of existing techniques of image segmentation and a comparison of the K-means and neuro-fuzzy algorithms are also given.

Keywords : image segmentation; neuro-fuzzy; K-means; Alzheimer; MRI.

Pour citer cet article

Ghorbani Behnaz, Kazemi Manoucher & Nadi Senejani Mahdieh, «A Survey of Alzheimer’s disease using Fuzzy Neural Network», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 85 - Année 2016, Actes de colloques, Special edition, 424 - 433 URL : https://popups.uliege.be/0037-9565/index.php?id=5435.