Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to ena...
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IEEE
2010
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| Online Access: | http://scholars.utp.edu.my/id/eprint/3180/ http://scholars.utp.edu.my/id/eprint/3180/1/PID1357883.pdf |
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| author | Ahmad Fadzil, M. Hani Nugroho , Hanung Adi Nugroho, Hermawan Ngah , Nor Fariza George , Tara M Izhar, Lila I |
| author_facet | Ahmad Fadzil, M. Hani Nugroho , Hanung Adi Nugroho, Hermawan Ngah , Nor Fariza George , Tara M Izhar, Lila I |
| author_sort | Ahmad Fadzil, M. Hani |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to enable a new and an effective grading protocol DR severity in an observational clinical study. The performance of a computerised DR monitoring and grading system that digitally analyses colour fundus image to measure the enlargement of FAZ and grade DR is evaluated. The range of FAZ area is optimised to accurately determine DR severity stage and progression stages using a Gaussian Bayes classifier. The system achieves high accuracies of above 96%, sensitivities higher than 88% and specificities higher than 96%, in grading of DR severity. In particular, high sensitivity (100%), specificity (>98%) and accuracy (99%) values are obtained for No DR (normal) and Severe NPDR/PDR stages. The system performance indicates that the DR system is suitable for early detection of DR and for effective treatment of severe cases. |
| first_indexed | 2025-11-13T07:29:14Z |
| format | Article |
| id | oai:scholars.utp.edu.my:3180 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:29:14Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:31802017-01-19T08:23:43Z http://scholars.utp.edu.my/id/eprint/3180/ Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity Ahmad Fadzil, M. Hani Nugroho , Hanung Adi Nugroho, Hermawan Ngah , Nor Fariza George , Tara M Izhar, Lila I RE Ophthalmology QA75 Electronic computers. Computer science Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to enable a new and an effective grading protocol DR severity in an observational clinical study. The performance of a computerised DR monitoring and grading system that digitally analyses colour fundus image to measure the enlargement of FAZ and grade DR is evaluated. The range of FAZ area is optimised to accurately determine DR severity stage and progression stages using a Gaussian Bayes classifier. The system achieves high accuracies of above 96%, sensitivities higher than 88% and specificities higher than 96%, in grading of DR severity. In particular, high sensitivity (100%), specificity (>98%) and accuracy (99%) values are obtained for No DR (normal) and Severe NPDR/PDR stages. The system performance indicates that the DR system is suitable for early detection of DR and for effective treatment of severe cases. IEEE 2010-11-11 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/3180/1/PID1357883.pdf Ahmad Fadzil, M. Hani and Nugroho , Hanung Adi and Nugroho, Hermawan and Ngah , Nor Fariza and George , Tara M and Izhar, Lila I (2010) Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE . 5632-5635 . ISSN 1557-170X 10.1109/IEMBS.2010.5628041 10.1109/IEMBS.2010.5628041 |
| spellingShingle | RE Ophthalmology QA75 Electronic computers. Computer science Ahmad Fadzil, M. Hani Nugroho , Hanung Adi Nugroho, Hermawan Ngah , Nor Fariza George , Tara M Izhar, Lila I Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title | Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title_full | Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title_fullStr | Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title_full_unstemmed | Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title_short | Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| title_sort | analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity |
| topic | RE Ophthalmology QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/3180/ http://scholars.utp.edu.my/id/eprint/3180/ http://scholars.utp.edu.my/id/eprint/3180/1/PID1357883.pdf |