Medical & Biological Engineering & Computing

, Volume 49, Issue 6, pp 693–700

Analysis of retinal fundus images for grading of diabetic retinopathy severity

  • M. H. Ahmad Fadzil
  • Lila Iznita Izhar
  • Hermawan Nugroho
  • Hanung Adi Nugroho
Original Article

DOI: 10.1007/s11517-011-0734-2

Cite this article as:
Ahmad Fadzil, M.H., Izhar, L.I., Nugroho, H. et al. Med Biol Eng Comput (2011) 49: 693. doi:10.1007/s11517-011-0734-2

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.

Keywords

Diabetic retinopathy gradingFoveal avascular zoneMedical image analysisRetinal fundus images

Copyright information

© International Federation for Medical and Biological Engineering 2011

Authors and Affiliations

  • M. H. Ahmad Fadzil
    • 1
  • Lila Iznita Izhar
    • 1
  • Hermawan Nugroho
    • 1
  • Hanung Adi Nugroho
    • 1
  1. 1.Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic EngineeringUniversiti Teknologi PETRONASTronohMalaysia