Automatic detection of exudates for grading of macular edema in retinal fundus images
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 1960-1968
AbstractMacular edema is one of the retinal variations from the norm which influence the vision of the individual and prompts visual deficiency torn up pretty bad. In this paper a completely robotized strategy is proposed for the early discovery of macular edema in retinal fundus pictures. At first, the anatomic structures of retinal picture, for example, vessel, optic disc and fovea are identified. At that point the exudates which are available in the fovea part are distinguished for reviewing macular edema. The proposed technique was assessed on the two openly accessible DRIVE and STARE databases.
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