Detection of Neovascularization in Diabetic Retinopathy
Diabetic retinopathy has become an increasingly important cause of blindness. Nevertheless, vision loss can be prevented from early detection of diabetic retinopathy and monitor with regular examination. Common automatic detection of retinal abnormalities is for microaneurysms, hemorrhages, hard exu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Society for Imaging Informatics in Medicine
2012
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| Online Access: | http://ir.unimas.my/id/eprint/2987/ http://ir.unimas.my/id/eprint/2987/1/10.1007%252Fs10278-011-9418-6 |
| _version_ | 1848835118302494720 |
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| author | Siti Syafinah, Ahmad Hassan Bong, D.B.L Mallika, Premsenthil |
| author_facet | Siti Syafinah, Ahmad Hassan Bong, D.B.L Mallika, Premsenthil |
| author_sort | Siti Syafinah, Ahmad Hassan |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Diabetic retinopathy has become an increasingly important cause of blindness. Nevertheless, vision loss can be prevented from early detection of diabetic retinopathy and monitor with regular examination. Common automatic detection of retinal abnormalities is for microaneurysms, hemorrhages, hard exudates, and cotton wool spot. However, there is a worse case of retinal abnormality, but not much research was done to detect it. It is neovascularization where new blood vessels grow due to extensive lack of oxygen in the retinal capillaries. This paper shows that various combination of techniques such as image normalization, compactness classifier, morphology-based operator, Gaussian filtering, and thresholding techniques were used in developing of neovascularization detection. A function matrix box was added in order to classify the neovascularization from natural blood vessel. A region-based neovascularization classification was attempted as a diagnostic accuracy. The developed method was tested on images from different database sources with varying quality and image resolution. It shows that specificity and sensitivity results were 89.4% and 63.9%, respectively. The proposed approach yield encouraging results for future development. |
| first_indexed | 2025-11-15T06:02:47Z |
| format | Article |
| id | unimas-2987 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:02:47Z |
| publishDate | 2012 |
| publisher | Society for Imaging Informatics in Medicine |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-29872016-04-19T07:01:07Z http://ir.unimas.my/id/eprint/2987/ Detection of Neovascularization in Diabetic Retinopathy Siti Syafinah, Ahmad Hassan Bong, D.B.L Mallika, Premsenthil TK Electrical engineering. Electronics Nuclear engineering Diabetic retinopathy has become an increasingly important cause of blindness. Nevertheless, vision loss can be prevented from early detection of diabetic retinopathy and monitor with regular examination. Common automatic detection of retinal abnormalities is for microaneurysms, hemorrhages, hard exudates, and cotton wool spot. However, there is a worse case of retinal abnormality, but not much research was done to detect it. It is neovascularization where new blood vessels grow due to extensive lack of oxygen in the retinal capillaries. This paper shows that various combination of techniques such as image normalization, compactness classifier, morphology-based operator, Gaussian filtering, and thresholding techniques were used in developing of neovascularization detection. A function matrix box was added in order to classify the neovascularization from natural blood vessel. A region-based neovascularization classification was attempted as a diagnostic accuracy. The developed method was tested on images from different database sources with varying quality and image resolution. It shows that specificity and sensitivity results were 89.4% and 63.9%, respectively. The proposed approach yield encouraging results for future development. Society for Imaging Informatics in Medicine 2012 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/2987/1/10.1007%252Fs10278-011-9418-6 Siti Syafinah, Ahmad Hassan and Bong, D.B.L and Mallika, Premsenthil (2012) Detection of Neovascularization in Diabetic Retinopathy. Journal of Digital Imaging, 25 (3). pp. 437-444. http://www.springerlink.com/content/40n1x15820v3k1r2/ |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Siti Syafinah, Ahmad Hassan Bong, D.B.L Mallika, Premsenthil Detection of Neovascularization in Diabetic Retinopathy |
| title | Detection of Neovascularization in Diabetic Retinopathy |
| title_full | Detection of Neovascularization in Diabetic Retinopathy |
| title_fullStr | Detection of Neovascularization in Diabetic Retinopathy |
| title_full_unstemmed | Detection of Neovascularization in Diabetic Retinopathy |
| title_short | Detection of Neovascularization in Diabetic Retinopathy |
| title_sort | detection of neovascularization in diabetic retinopathy |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/2987/ http://ir.unimas.my/id/eprint/2987/ http://ir.unimas.my/id/eprint/2987/1/10.1007%252Fs10278-011-9418-6 |