Algorithms for digital image processing in diabetic retinopathy

• Published in: Computerized medical imaging and graphics Vol. 33; no. 8; pp. 608 - 622
• Main Authors: Winder, R.J., Morrow, P.J., McRitchie, I.N., Bailie, J.R., Hart, P.M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.12.2009
• Subjects: Algorithms; Artificial Intelligence; Computer-aided diagnosis; Diabetic retinopathy; Diabetic Retinopathy - pathology; Digital imaging; Fluorescein Angiography - methods; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image processing; Internal Medicine; Other; Pattern Recognition, Automated - methods; Reproducibility of Results; Retinoscopy - methods; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Diabetic retinopathy; Digital imaging; Image processing; Computer-aided diagnosis
• ISSN: 0895-6111; 1879-0771; 1879-0771
• DOI: 10.1016/j.compmedimag.2009.06.003

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.