Extracting Salient Brain Patterns for Classification of Neurodegenerative Diseases
An accurate diagnosis of Alzheimer‟s diseases based on saliency map characterization is carried out on thirty two database images. This paper gives fully automatic image analysis method and attempts an approach for classification of brain images to find out pathology and normality part of brain by extracting salient features of input brain image and the region of interest is identified using kernel k-means algorithm. A support vector machine (SVM) a supervised learning process is used for classification of AD, which is identified as blue color is normal brain part and red color is pathology related.
Madhuri Namadev Kerikai, Rashmi S B
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