Analysis of retinal fundus images for grading of diabetic retinopathy severity

Med Biol Eng Comput. 2011 Jun;49(6):693-700. doi: 10.1007/s11517-011-0734-2. Epub 2011 Jan 27.


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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Diabetic Retinopathy / diagnosis*
  • Disease Progression
  • Fundus Oculi
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Sensitivity and Specificity
  • Severity of Illness Index*