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Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images

British Journal of Ophthalmology · 1999 · Vol. 83(8) · pp. 902–910
Chanjira SinthanayothinJ.F. BoyceHelen CookTom H. Williamson

Abstract

In this study the optic disc, blood vessels, and fovea were accurately detected. The identification of the normal components of the retinal image will aid the future detection of diseases in these regions. In diabetic retinopathy, for example, an image could be analysed for retinopathy with reference to sight threatening complications such as disc neovascularisation, vascular changes, or foveal exudation.

Retinal Imaging and AnalysisGlaucoma and retinal disordersRetinal Diseases and TreatmentsOptic discFundus (uterus)RetinalOphthalmologyFovealRetinaMedicineArtificial intelligenceFovea centralisDiabetic retinopathy

MeSH terms

AlgorithmsColorFovea CentralisHumansImage EnhancementOptic DiskRetinaRetinal VesselsSensitivity and Specificity
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References
High confidence visual recognition of persons by a test of statistical independence
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1993 · 3,232 citations
Snakes: Active contour models
International Journal of Computer Vision · 1988 · 16,976 citations
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1986 · 28,799 citations
Detection of blood vessels in retinal images using two-dimensional matched filters
IEEE Transactions on Medical Imaging · 1989 · 1,665 citations
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