Detection of Glaucoma in Retinal Images Based on Multiobjective Approach

Glaucomaisoneofthemajorcausesofblindness.Glaucomaisaconditionduetoincreasedpressure withintheeyeball,causingprogressive,irreversibleandgraduallossofsight.Itcanbepreventedonly detectionindiscratio(CDR),ratioofbloodvesselareaininteriorandsuperiorsideofthebloodvessel inthenasaltemporalsideextractedfromretinalfundusimages.Reducingthenumberoffeaturesand reducingtheerrorratearetwoconflictingobjectives.Theproposedmethodologyaimstoexplore theuseofDifferentialEvolutionbasedmultiobjectivefeatureselectiontechniquetoselectasubset offeatureswhichminimizebothourconflictingobjectives.Theperformanceofselectedsubsetof featureshasbeenevaluatedusingKNNclassificationtechnique.Ithasbeenobservedthatsaidextracted subsetoffivefeatures,KNNclassificationachievedbetteraccuracythananyothersubsetoffeatures. KEywoRDS Differential Evaluation, Glaucoma, Multiobjective, Optic Cup, Optic Disc, Retinal Fundus Image

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