title: Analysis of retinal fundus images for grading of diabetic retinopathy severity.
abstract: Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. In this article, a computerised DR grading system, which digitally analyses retinal fundus image, is used to measure foveal avascular zone. A v-fold cross-validation method is applied to the FINDeRS database to evaluate the performance of the DR system. It is shown that the system achieved sensitivity of >84%, specificity of >97% and accuracy of >95% for all DR stages. At high values of sensitivity (>95%), specificity (>97%) and accuracy (>98%) obtained for No DR and severe NPDR/PDR stages, the computerised DR grading system is suitable for early detection of DR and for effective treatment of severe cases.
authors.affiliation: Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, Malaysia.
authors.forename: M H
authors.initials: MH
authors.lastname: Ahmad Fadzil
authors.forename: Lila Iznita
authors.initials: LI
authors.lastname: Izhar
authors.forename: Hermawan
authors.initials: H
authors.lastname: Nugroho
authors.forename: Hanung Adi
authors.initials: HA
authors.lastname: Nugroho
mesh_terms: D000465:Algorithms; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D018450:Disease Progression; D005654:Fundus Oculi; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index