A computerised screening support system for automatic detection of diabetic retinopathy and maculopathy
Hunter, A., Lowell, J.A., Basu, A., Ryder, R., Steel, D., and Kennedy, R.L. (2003) A computerised screening support system for automatic detection of diabetic retinopathy and maculopathy. In: Papers from Diabetes UK Annual Conference 2003 (20), p. 84. From: Diabetes UK Annual Professional Conference 2003, 19-21 March 2003, Glasgow, Scotland, UK.
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Aims: We describe a neural-network system for automated computerized screening of digital fundal images for retinopathy designed for two automated screening modalities: prefiltering, where software performs the initial check and refers onto a screener only 'suspicious' images; and supported screening, where the software highlights and counts potential lesions, and assigns a grade, while allowing the user to reclassify lesions.
Method: The system detects the optic nerve head, fovea, microaneurysms, haemmorhages and exudates, and distinguishes between exudates, drusen and light artefacts; it is trained on 8000 sample lesions/distractors from 80 randomly selected screening images. It diagnoses background retinopathy where there is at least one HMA present, and risk of maculopathy where there is an exudate within one disk diameter of the fovea.
Results: We evaluated 65 randomly selected test images. On a per lesion basis, the system has sensitivity/specificity of 85/90% for detection of HMAs; 86/86% for exudates. For background retinopathy (per-image) the sensitivity/specificity was 90/70%; for maculopathy risk 90/91 %.
Comments: False negatives for background retinopathy invariably have only one or two very small lesions. The system is thus suitable for prefiltering for background retinopathy, and supported screening for sight-threatening retinopathy, It can reduce the effort in manual screening by over 70%.
|Item Type:||Conference Item (Poster)|
|Date Deposited:||05 Oct 2010 06:00|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 100%|
|SEO Codes:||92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%|