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Medical Image Decision Support System Using Image Sync Scheme

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In a variety of fields for finding the image similarity techniques an image similar to a specific image is a lot used. In particular, research on the image similarity analysis for medical image analysis is much progress in the pathology. In this paper, we propose a medical image decision support system that provides the hybrid approach using leveling and tiling for OpenSlide image. The proposed scheme compares with pathology cell data in database to decide whether cancer cells exist or not. OpenSlide format is special form of multimedia data with image slide set. To analyze image contents, we adapt image sync scheme that processes image with difference size to be compared in digital image analysis. The proposed system contributes for medical image decision support system using candidate recommend service that shows cancer candidate sets based on the image searching algorithm.
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Keywords: Image Sync; Medical Image; OpenSlide; Pathology

Document Type: Research Article

Affiliations: 1: Department of Computer Engineering, Hallym University, Chuncheon 200702, Korea 2: Department of Business, Hallym University, Chuncheon 200702, Korea

Publication date: April 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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