eprintid: 2072
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/20/72
datestamp: 2023-11-09 15:50:15
lastmod: 2023-11-09 15:50:15
status_changed: 2023-11-09 15:41:57
type: article
metadata_visibility: show
creators_name: Ahmad Fadzil, M.H.
creators_name: Izhar, L.I.
creators_name: Nugroho, H.
creators_name: Nugroho, H.A.
title: Analysis of retinal fundus images for grading of diabetic retinopathy severity
ispublished: pub
keywords: Cross-validation methods; Diabetes mellitus; Diabetic retinopathy; Diabetic retinopathy grading; Early detection; Foveal avascular zones; Fundus image; Grading system; Medical image analysis, Grading; Medical imaging; Ophthalmology, Eye protection, algorithm; article; computer assisted diagnosis; diabetic retinopathy; disease course; evaluation; eye fundus; hospitalization; human; methodology; sensitivity and specificity, Algorithms; Diabetic Retinopathy; Disease Progression; Fundus Oculi; Humans; Image Interpretation, Computer-Assisted; Sensitivity and Specificity; Severity of Illness Index
note: cited By 57
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. © 2011 International Federation for Medical and Biological Engineering.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959884489&doi=10.1007%2fs11517-011-0734-2&partnerID=40&md5=2ef7bece7037781bf67d9d563d98bc2a
id_number: 10.1007/s11517-011-0734-2
full_text_status: none
publication: Medical and Biological Engineering and Computing
volume: 49
number: 6
pagerange: 693-700
refereed: TRUE
issn: 01400118
citation:   Ahmad Fadzil, M.H. and Izhar, L.I. and Nugroho, H. and Nugroho, H.A.  (2011) Analysis of retinal fundus images for grading of diabetic retinopathy severity.  Medical and Biological Engineering and Computing, 49 (6).  pp. 693-700.  ISSN 01400118