1. Diabetic retinopathy infection detection & classification using advance genetic algorithm
Authors : S. M. Deshmukh, M.v. Tiwari, Juee Tatte
Pages : 58-61
DOI : http://dx.doi.org/10.21172/1.132.10
Keywords : Diabetic Retinopathy, Advance Genetic Algorithm, fuzzy logic. Abstract :Diabetic retinopathy is a disorder which affects the retina of the eye by effecting or damaging the blood vessels which results in leakage of blood and fluids from eye which causes swelling of retinal tissue and blurred vision. This concept proposes an advance genetic algorithm to segment retinal image so as to get infected region accurately. The main goal is automatic retinal image analysis, which can reduce the workload associated to manual grading as well as save diagnosis costs and time. The aim of this project is to detect the diabetic retinopathy (DR) and to perfectly classify an image into different stages of a retinal diseases using fuzzy logic also to put necessary prescription against future diseases spreading.
Citing this Journal Article :S. M. Deshmukh, M.v. Tiwari, Juee Tatte, "Diabetic retinopathy infection detection & classification using advance genetic algorithm", Volume 13 Issue 2 - April 2019, 58-61
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