articleTop 10% cited
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 Sinthanayothin✉(St Thomas' Hospital)J.F. Boyce(St Thomas' Hospital)Helen Cook(St Thomas' Hospital)Tom H. Williamson(St Thomas' Hospital)
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
Citations
782
FWCI
4.91
field-weighted impact
References
80
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95%
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Citations per year
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References
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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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