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Image Segmentation Technology Application in Diabetic Retinopathy Analysis

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Author(s): Jin-Yuan Wu | Guo-Dong You | Feng-Yuan Sun | Dong-Run Tang | Tong Wu

Journal: Research Journal of Applied Sciences, Engineering and Technology
ISSN 2040-7459

Volume: 5;
Issue: 9;
Start page: 2748;
Date: 2013;
Original page

Keywords: Diabetes | image diagnosis | retinal vascular | segmentation

ABSTRACT
Selection of clinical image of the fundus and fundus fluoresce in angiography (fundus fluoresce in angiography, FFA) image as the research object, using image segmentation method on diabetic retinopathy (Diabetic Retinopathy, DR) vascular processing and analysis, in order to improve clinical diagnostic accuracy and efficiency. The experimental results show that image processing and analysis methods for normal retinal images and image segmentation are relatively complete vascular lesions and the image of the fundus and fundus fluoresce in angiography (Fundus Fluoresce in Angiography FFA) images as compared to the more detailed and clear, precision is improved obviously. As the eye fundus blood vessel lesions in the early discovery, early diagnosis and further therapy provides a new theoretical basis.
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