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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
A decision support framework for automated screening of diabetic retinopathy
International Journal of Biomedical Imaging, Volume 2006, Article 45806, Year 2006
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Description
The early signs of diabetic retinopathy (DR) are depicted by microaneurysms among other signs. A prompt diagnosis when the disease is at the early stage can help prevent irreversible damages to the diabetic eye. In this paper, we propose a decision support system (DSS) for automated screening of early signs of diabetic retinopathy. Classification schemes for deducing the presence or absence of DR are developed and tested. The detection rule is based on binary-hypothesis testing problem which simplifies the problem to yes/no decisions. An analysis of the performance of the Bayes optimality criteria applied to DR is also presented. The proposed DSS is evaluated on the real-world data. The results suggest that by biasing the classifier towards DR detection, it is possible to make the classifier achieve good sensitivity. Copyright © 2006 P. Kahai et al.
Authors & Co-Authors
Kahai, P.
United States, Wichita
Wichita State University
United States, San Jose
Cisco Systems
Namuduri, K. R.
United States, Wichita
Wichita State University
Thompson, H.
United States, New Orleans
Lsu Eye Center
South Africa, Cape Town
School of Public Health
Statistics
Citations: 77
Authors: 3
Affiliations: 4
Identifiers
Doi:
10.1155/IJBI/2006/45806
ISSN:
16874188
e-ISSN:
16874196
Research Areas
Health System And Policy