@article{scholars2072,
            note = {cited By 57},
          volume = {49},
          number = {6},
             doi = {10.1007/s11517-011-0734-2},
           title = {Analysis of retinal fundus images for grading of diabetic retinopathy severity},
            year = {2011},
         journal = {Medical and Biological Engineering and Computing},
           pages = {693--700},
        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},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959884489&doi=10.1007\%2fs11517-011-0734-2&partnerID=40&md5=2ef7bece7037781bf67d9d563d98bc2a},
        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 {\ensuremath{>}}84, specificity of {\ensuremath{>}}97 and accuracy of {\ensuremath{>}}95 for all DR stages. At high values of sensitivity ({\ensuremath{>}}95), specificity ({\ensuremath{>}}97) and accuracy ({\ensuremath{>}}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. {\^A}{\copyright} 2011 International Federation for Medical and Biological Engineering.},
            issn = {01400118},
          author = {Ahmad Fadzil, M. H. and Izhar, L. I. and Nugroho, H. and Nugroho, H. A.}
}