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Research Article | Open Access
Volume 15 2023 | None
DIABETIC RETINOPATHY ANALYSIS
Mrs B MAHALAKSHMI, DHANWADA ANISHA, NAKKA SHREYA, DEEKONDA ARAVIND, KATIKAM UMESH REDDY
Pages: 750-756
Abstract
Agreatchallengeinthebiomedicalengineeringisthenon-invasiveassessmentofthephysiologicalchangesoccurringinsidethehumanbody.Specifically,detectingthe abnormalitiesinthehumaneyeisextremelydifficultduetothevariouscomplexitiesassociatedwiththeprocess.Retinalimagescapturedbydigitalcamerascanbeusedtoidentifythenatureoftheabnormalitiesaffectingthehumaneye.Conventionaldiseaseidentificationtechniquesfromretinalimagesaremostlydependentonmanualintervention.Humanobservationishighlypronetoerror,thesuccessrateofthesetechniquesisquitelow.DiabeticRetinopathyisonesuchdiseaseofretinawhichoccursinpeoplesufferingfromlongstandingdiabetes.ItisamultistageprogressingdiseasenamelyNDPR andPDR. Microaneurysms,hemorrhages andexudatesaretheabnormalfeaturescommonlyobservedintheretinalimageofapersonaffectedbydiabeticretinopathy.Imageprocessingtechniquesareusedtopre-processthefundusimage,whichisfollowedbysegmentationofanomalies.Featureextractionisdoneandthedetectedfeaturesareusedtoclassifythedifferentstagesofdiabeticretinopathy.TheclassificationtechniqueusedisFast Regional convolutional Neural Network,andtheaccuracyobtainedis98.9%.
Keywords
Agreatchallengeinthebiomedicalengine
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