The evidence for automated grading in diabetic retinopathy screening

Alan D Fleming, Sam Philip, Keith A Goatman, Gordon J Prescott, Peter F Sharp, John A Olson

Research output: Contribution to journalArticle

17 Citations (Scopus)
8 Downloads (Pure)

Abstract

Systematic screening for diabetic retinopathy using retinal photography has been shown to reduce the incidence of blindness among people with diabetes. The implementation of diabetic retinopathy screening programmes faces several challenges. Consequently, methods for improving the efficiency of screening are being sought, one of which is the automation of image grading involving detection of images with either disease or of inadequate quality using computer software. This review aims to bring together the available evidence that is suitable for making a judgement about whether automated grading systems could be used effectively in diabetic retinopathy screening. To do this, it focuses on studies made by the few centres who have presented results tests of automated grading software on large sets of patients or screening episodes. It also considers economic model analyses and papers describing the effectiveness of manual grading in order that the effect of replacing stages of manual grading by automated grading can be judged. In conclusion, the review shows that there is sufficient evidence to suggest that automated grading, operating as a disease / no disease grader, is safe and could reduce the workload of manual grading in diabetic retinopathy screening.
Original languageEnglish
Pages (from-to)246-252
Number of pages7
JournalCurrent Diabetes Reviews
Volume7
Issue number4
DOIs
Publication statusPublished - Jul 2011

Keywords

  • diabetic retinopathy
  • screening
  • computer-assisted image analysis
  • imaging
  • telemedicine
  • automated grading
  • blindness
  • sit-lamp examination
  • microaneurysm detectin
  • haemorrhage

Fingerprint Dive into the research topics of 'The evidence for automated grading in diabetic retinopathy screening'. Together they form a unique fingerprint.

  • Cite this