Classification of medical images using edge-based features and sparse representation

Conference/Journal
IEEE
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Abstract
Abstract: In this paper, an approach for classification of medical images using edge-based features is proposed. We demonstrate that the edge information extracted from an image by dividing the image into patches and each patch into concentric circular regions provide discriminative information useful for classification of medical images by considering 18 categories of radiological medical images namely, skull, hand, breast, cranium, hip, cervical spin, pelvis, radiocarpaljoint, elbow etc.,. The ability of On-line Dictionary Learning (ODL) ...