Automated diagnosis of referable maculopathy in diabetic retinopathy screening

Hunter, Andrew, Lowell, James A., Ryder, Bob , Basu, Ansu and Steel, David (2011) Automated diagnosis of referable maculopathy in diabetic retinopathy screening. In: 33rd Annual International Conference of the IEEE EMBS, August 30 - September 3 2011, Boston, USA.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper introduces an algorithm for the automated diagnosis of referable maculopathy in retinal images for diabetic retinopathy screening. Referable maculopathy is a potentially sight-threatening condition requiring immediate referral to an ophthalmologist from the screening service, and therefore accurate referral is extremely important. The algorithm uses a pipeline of detection and filtering of "peak points" with strong local contrast, segmentation of candidate lesions, extraction of features and classification by a multilayer perceptron. The optic nerve head and fovea are detected, so that the macula region can be identified and scanned. The algorithm is assessed against a reference standard database drawn from the Birmingham City Hospital (UK) diabetic retinopathy screening programme, against two possible modes of use: independent screening, and pre-filtering to reduce human screener workload.

Keywords:algorithm, article, diabetic retinopathy, human, United Kingdom, Algorithms, Great Britain, Humans
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
B Subjects allied to Medicine > B500 Ophthalmics
Divisions:Professional services > Vice Chancellors Office
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ID Code:10251
Deposited On:14 Aug 2013 14:35

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