DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-3,Issue-11 ( Nov, 2015 ) | |||||||||
Paper Title |
Malignant Hypertensive Retinopathy Diagnosing System based on retina Image | |||||||||
Author Name |
Ching-Lin Wang, Chi-Shiang Chan, Yung-Kuan Chan, An-Shang Kuo | |||||||||
Affilition |
Department of Information Management, National Chin-Yi University of Technology Department of Applied Informatics and Multimedia, Asia University Department of Management Information System, National Chung Hsing University | |||||||||
Pages |
1-8 | |||||||||
Abstract |
High blood pressure can damage the vessels supplying blood to retina. When the cardiologist finds a hypertension patient who has the symptoms of hypertensive retinopathy, the cardiologist will help him make referrals to ophthalmology for a complete eye diagnosis. However, early recognition of hypertensive retinopathy signs is not always easy to diagnose. Due to a lack of ophthalmic knowledge, the hypertensive retinopathy may be misdiagnosed by the cardiologist. This study provides a malignant hypertensive retinopathy diagnosis system (MHRD system) to promptly and accurately diagnose malignant hypertensive retinopathy based on retina image. The symptoms of malignant hypertensive retinopathy include constricted and tortuous arteries, retinal hemorrhage, hard exudates, cotton wool spots, retinal edema, and papilledema. These symptoms create some bright and dark areas in a gray-level retinal image. When given a retinal image, the MHRD system hence segments the bright areas, dark areas, and vessels from the retinal image. It then diagnoses the malignant hypertensive retinopathy based on the characteristics of the segmented bright areas, dark areas, and vessels. The experiment results show that the MHRD system can give over 85% diagnostic accuracy rate. IndexTerms- Image Segmentation, Hypertensive Retinopathy, Retinal Image, Keith-Wagener-Barker Grade. | |||||||||
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