期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305079
出版社：S&S Publications
摘要：An accurate diagnosis of Alzheimer‟s diseases based on saliency map characterization is carried out onthirty two database images. This paper gives fully automatic image analysis method and attempts an approach forclassification of brain images to find out pathology and normality part of brain by extracting salient features of inputbrain image and the region of interest is identified using kernel k-means algorithm. A support vector machine (SVM) asupervised learning process is used for classification of AD, which is identified as blue color is normal brain part andred color is pathology related
关键词：Support vector machines(SVMs); Alzheimer‟s disease(AD); Anatomical patterns; normal controls;(NC)
