Algorithms for digital image processing in diabetic retinopathy

Comput Med Imaging Graph. 2009 Dec;33(8):608-22. doi: 10.1016/j.compmedimag.2009.06.003. Epub 2009 Jul 18.

Abstract

This work examined recent literature on digital image processing in the field of diabetic retinopathy. Algorithms were categorized into 5 steps (preprocessing; localization and segmentation of the optic disk; segmentation of the retinal vasculature; localization of the macula and fovea; localization and segmentation of retinopathy). The variety of outcome measures, use of a gold standard or ground truth, data sample sizes and the use of image databases is discussed. It is intended that our classification of algorithms into a small number of categories, definition of terms and discussion of evolving techniques will provide guidance to algorithm designers for diabetic retinopathy.

Publication types

  • Comparative Study
  • Evaluation Study
  • Review

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Diabetic Retinopathy / pathology*
  • Fluorescein Angiography / methods*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Retinoscopy / methods*
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted*