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%.

Agreatchallengeinthebiomedicalengine

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