A Decision Support Framework for Automated Screening of Diabetic Retinopathy
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 ear...
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Format: | Article |
Language: | English |
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Wiley
2006-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/IJBI/2006/45806 |
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author | P. Kahai K. R. Namuduri H. Thompson |
author_facet | P. Kahai K. R. Namuduri H. Thompson |
author_sort | P. Kahai |
collection | DOAJ |
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. |
format | Article |
id | doaj-art-0d8ecd98dbf84027978ca2bb88656ae7 |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2006-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-0d8ecd98dbf84027978ca2bb88656ae72025-02-03T06:13:48ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/4580645806A Decision Support Framework for Automated Screening of Diabetic RetinopathyP. Kahai0K. R. Namuduri1H. Thompson2Department of Electrical & Computer Engineering, Wichita State University, Wichita, KS 67260-0044, USADepartment of Electrical & Computer Engineering, Wichita State University, Wichita, KS 67260-0044, USALSU Eye Center, Louisiana State University, New Orleans, LA 70112, USAThe 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.http://dx.doi.org/10.1155/IJBI/2006/45806 |
spellingShingle | P. Kahai K. R. Namuduri H. Thompson A Decision Support Framework for Automated Screening of Diabetic Retinopathy International Journal of Biomedical Imaging |
title | A Decision Support Framework for Automated Screening of Diabetic Retinopathy |
title_full | A Decision Support Framework for Automated Screening of Diabetic Retinopathy |
title_fullStr | A Decision Support Framework for Automated Screening of Diabetic Retinopathy |
title_full_unstemmed | A Decision Support Framework for Automated Screening of Diabetic Retinopathy |
title_short | A Decision Support Framework for Automated Screening of Diabetic Retinopathy |
title_sort | decision support framework for automated screening of diabetic retinopathy |
url | http://dx.doi.org/10.1155/IJBI/2006/45806 |
work_keys_str_mv | AT pkahai adecisionsupportframeworkforautomatedscreeningofdiabeticretinopathy AT krnamuduri adecisionsupportframeworkforautomatedscreeningofdiabeticretinopathy AT hthompson adecisionsupportframeworkforautomatedscreeningofdiabeticretinopathy AT pkahai decisionsupportframeworkforautomatedscreeningofdiabeticretinopathy AT krnamuduri decisionsupportframeworkforautomatedscreeningofdiabeticretinopathy AT hthompson decisionsupportframeworkforautomatedscreeningofdiabeticretinopathy |