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dc.contributor.authorChachan, Manmohan S.-
dc.contributor.authorSavani, Vijay G.-
dc.date.accessioned2017-01-24T08:36:04Z-
dc.date.available2017-01-24T08:36:04Z-
dc.date.issued2016-
dc.identifier.issn2229-6980 (Online)-
dc.identifier.issn2321-4228 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/7339-
dc.descriptionJournal of Electronic Design Technology, Vol. 7 (1), 2016, Page No. 9 - 13en_US
dc.description.abstractAutomated and early diagnosis of diabetic retinopathy is a crucial need. Diabetic retinopathy (DR) is the major cause of blindness among people. DR is a progressive disease classified according to the presence of various clinical abnormalities. It doesn’t have any visible symptoms till the disease is at late stage. Therefore, it necessary to detect DR at early stage and to ensure proper treatment. For early detection of DR, different automated diagnosis systems have been designed. A number of studies have investigated DR and this paper presents novel approach for automated diagnosis of DR which is implemented with the help of contour detection algorithm in OpenCV and Raspberry Pi used as hardware.en_US
dc.publisherSTM Journalsen_US
dc.relation.ispartofseriesITFEC024-14;-
dc.subjectRetinaen_US
dc.subjectRetinopathyen_US
dc.subjectBlood Vesselsen_US
dc.subjectDiabetesen_US
dc.subjectBiomedical Imagingen_US
dc.subjectEuler Numberen_US
dc.subjectComputer Aided Diagnosisen_US
dc.subjectMedical Image Processingen_US
dc.subjectFeature Extractionen_US
dc.subjectEyeen_US
dc.subjectContour Detectionen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC024en_US
dc.subjectITFEC039en_US
dc.titleNovel Approach for Automated Diagnosis of Diabetic Retinopathyen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

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