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• W3035074924 abstract "Diabetic retinopathy is one of the common eye diseases found in most of the diabetic patients. According to the latest report by the International Diabetes Federation (IDF), in the year 2045 about 84% of the Indian population will be affected by Diabetes. Automated Computer Aided Diagnosis (CAD) system helps ophthalmologists to reduce the risk of visual defects and to reduce the cost of medical resources to a greater extent. Retina is a delicate and a thin tissue that lines back of eye. It is supplied with sufficient amount of blood by a delicate network of blood vessels. Blood vessels in the retina plays an essential role for the analysis and detection of various chronicle diseases like diabetic retinopathy, glaucoma, cataract and cardio vascular risks. Manual vessel segmentation is always a difficult process in a retinal image because of varying thickness and width of a retinal blood vessels. Retinal blood vessel segmentation has become a mandatory process for any type of retinal diseases. This survey paper briefly explains preprocessing techniques for retinal image enhancement, methods used for segmentation of blood vessels and publicly available retinal databases. The goal of the paper is to provide a deep understanding and knowledge about the existing computer algorithms used for retinal image analysis and to identify the research areas for computer researchers in the field of ophthalmology." @default.
• W3035074924 created "2020-06-19" @default.
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• W3035074924 date "2020-02-01" @default.
• W3035074924 modified "2023-10-15" @default.
• W3035074924 title "A Survey on Computer Algorithms for Retinal image Preprocessing and Vessel Segmentation" @default.
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• W3035074924 doi "https://doi.org/10.1109/icict48043.2020.9112470" @default.
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