Open Science Research Excellence
%0 Journal Article
%A Sofia Matoug and  Amr Abdel-Dayem
%D 2016 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 113, 2016
%T Clustering-Based Detection of Alzheimer's Disease Using Brain MR Images
%U http://waset.org/publications/10004464
%V 113
%X This paper presents a comprehensive survey of recent research studies to segment and classify brain MR (magnetic resonance) images in order to detect significant changes to brain ventricles. The paper also presents a general framework for detecting regions that atrophy, which can help neurologists in detecting and staging Alzheimer. Furthermore, a prototype was implemented to segment brain MR images in order to extract the region of interest (ROI) and then, a classifier was employed to differentiate between normal and abnormal brain tissues. Experimental results show that the proposed scheme can provide a reliable second opinion that neurologists can benefit from.

%P 909 - 914