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dc.contributor.authorRahim, Sarni Suhaila
dc.contributor.authorPalade, Vasile
dc.contributor.authorShuttleworth, James
dc.contributor.authorJayne, Chrisina
dc.date.accessioned2016-05-26T08:14:54Z
dc.date.available2016-05-26T08:14:54Z
dc.date.issued2016-03-16
dc.identifier.citationRAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], OnlineFirst. Available from: https://dx.doi.org/10.1007/s40708-016-0045-3en
dc.identifier.issn2198-4018en
dc.identifier.issn2198-4026en
dc.identifier.urihttp://hdl.handle.net/10059/1487
dc.description.abstractDigital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to identify the group at risk of visual impairment. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images by employing fuzzy image processing techniques. The paper first introduces the existing systems for diabetic retinopathy screening, with an emphasis on the maculopathy detection methods. The proposed medical decision support system consists of four parts, namely: image acquisition, image preprocessing including four retinal structures localisation, feature extraction and the classification of diabetic retinopathy and maculopathy. A combination of fuzzy image processing techniques, the Circular Hough Transform and several feature extraction methods are implemented in the proposed system. The paper also presents a novel technique for the macula region localisation in order to detect the maculopathy. In addition to the proposed detection system, the paper highlights a novel online dataset and it presents the dataset collection, the expert diagnosis process and the advantages of our online database compared to other public eye fundus image databases for diabetic retinopathy purposes.en
dc.language.isoenen
dc.publisherSpringeren
dc.rightshttps://creativecommons.org/licenses/by/4.0en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDiabetic retinopathyen
dc.subjectMaculopathyen
dc.subjectEye screeningen
dc.subjectColour fundus imagesen
dc.subjectFuzzy image processingen
dc.titleAutomatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing.en
dc.typeJournal articlesen
dc.publisher.urihttps://dx.doi.org/10.1007/s40708-016-0045-3en
refterms.accessExceptionNAen
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionNAen
rioxxterms.typeJournal Article/Reviewen


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