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A review on the diabetic retinopathy assessment based on retinal vascular tortuosity

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dc.citedby10
dc.contributor.authorMustafa N.B.A.en_US
dc.contributor.authorZaki W.M.D.W.en_US
dc.contributor.authorHussain A.en_US
dc.contributor.authorid57191952020en_US
dc.contributor.authorid8507300300en_US
dc.contributor.authorid57208481391en_US
dc.date.accessioned2023-05-29T06:00:00Z
dc.date.available2023-05-29T06:00:00Z
dc.date.issued2015
dc.descriptionOphthalmology; Signal processing; Diabetic retinopathy; Eye disease; Quantitative method; Retinal vascular tortuosity; Visual loss; Eye protectionen_US
dc.description.abstractDiabetic Retinopathy (DR) is a severe vision threatening disease which causes visual loss for most of diabetic eye disease patients. This paper presents an overview of various methods used by other researchers in determining the retina vascular tortuosity and its association with DR. In this paper, several quantitative methods of retinal vascular tortuosity in Retinopathy of Premature (ROP) assessment are included as a benchmark of tortuosity measurement in DR. Initial finding suggests that there is a possible association between retinal vascular tortuosity and the development of DR. To confirm this, further research has to be conducted to see the frequency or rate of retinal vascular tortuosity. As such, this paper intends to report the preliminary work conducted which summarizes several developments in recent literature and discusses the various methods used for tortuosity measurement in DR. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7225631
dc.identifier.doi10.1109/CSPA.2015.7225631
dc.identifier.epage130
dc.identifier.scopus2-s2.0-84957872566
dc.identifier.spage127
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84957872566&doi=10.1109%2fCSPA.2015.7225631&partnerID=40&md5=49546dfc997fcc1740b846b1e30c486f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22284
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015
dc.titleA review on the diabetic retinopathy assessment based on retinal vascular tortuosityen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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