Supervised retinal vessel segmentation based on neural network using broader aging dataset
Retina image quality is affected by numerous factors including aging, refractive condition, and media opacity. Distracters that exist in certain age groups may not be present in another. This is evident when the retinal nerve fiber layer is more visible in younger age group, tricking the vessel seg...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/39631/ http://irep.iium.edu.my/39631/1/IWBBIO_2014_paper_131.pdf http://irep.iium.edu.my/39631/4/IWBBIO_2014_DEFINITIVE_PROGRAM.pdf |
| _version_ | 1848781821971529728 |
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| author | Che Azemin, Mohd Zulfaezal Abd Hamid, Fadilah Mohd Tamrin, Mohd Izzuddin Muhamad Amin, Anang Hudaya |
| author_facet | Che Azemin, Mohd Zulfaezal Abd Hamid, Fadilah Mohd Tamrin, Mohd Izzuddin Muhamad Amin, Anang Hudaya |
| author_sort | Che Azemin, Mohd Zulfaezal |
| building | IIUM Repository |
| collection | Online Access |
| description | Retina image quality is affected by numerous factors including aging, refractive condition, and media opacity. Distracters that exist in certain age groups may not be present in another. This is evident when the retinal nerve fiber layer is more visible in younger age group, tricking the vessel segmentation algorithm to label it as vessel thus affecting the specificity performance of the supervised retinal ves-sel segmentation. This research work aims to investigate the impact of aging to the performance of the supervised vessel segmentation. The results suggest dif-ferent age groups affect different aspect of the segmentation performance. Sensi-tivity is estimated to reduce by 4.633% for every 10- year increase of age (p<0.001), and specificity is estimated to reduce by 0.543% for every 10-year decrease of age (p<0.001). |
| first_indexed | 2025-11-14T15:55:40Z |
| format | Proceeding Paper |
| id | iium-39631 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:55:40Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-396312022-11-09T07:44:27Z http://irep.iium.edu.my/39631/ Supervised retinal vessel segmentation based on neural network using broader aging dataset Che Azemin, Mohd Zulfaezal Abd Hamid, Fadilah Mohd Tamrin, Mohd Izzuddin Muhamad Amin, Anang Hudaya RE Ophthalmology TK7885 Computer engineering Retina image quality is affected by numerous factors including aging, refractive condition, and media opacity. Distracters that exist in certain age groups may not be present in another. This is evident when the retinal nerve fiber layer is more visible in younger age group, tricking the vessel segmentation algorithm to label it as vessel thus affecting the specificity performance of the supervised retinal ves-sel segmentation. This research work aims to investigate the impact of aging to the performance of the supervised vessel segmentation. The results suggest dif-ferent age groups affect different aspect of the segmentation performance. Sensi-tivity is estimated to reduce by 4.633% for every 10- year increase of age (p<0.001), and specificity is estimated to reduce by 0.543% for every 10-year decrease of age (p<0.001). 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/39631/1/IWBBIO_2014_paper_131.pdf application/pdf en http://irep.iium.edu.my/39631/4/IWBBIO_2014_DEFINITIVE_PROGRAM.pdf Che Azemin, Mohd Zulfaezal and Abd Hamid, Fadilah and Mohd Tamrin, Mohd Izzuddin and Muhamad Amin, Anang Hudaya (2014) Supervised retinal vessel segmentation based on neural network using broader aging dataset. In: International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2014), 7th-9th April 2014, Granada, Spain. http://iwbbio.ugr.es/2014/papers/IWBBIO_2014_paper_131.pdf |
| spellingShingle | RE Ophthalmology TK7885 Computer engineering Che Azemin, Mohd Zulfaezal Abd Hamid, Fadilah Mohd Tamrin, Mohd Izzuddin Muhamad Amin, Anang Hudaya Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title | Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title_full | Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title_fullStr | Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title_full_unstemmed | Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title_short | Supervised retinal vessel segmentation based on neural network using broader aging dataset |
| title_sort | supervised retinal vessel segmentation based on neural network using broader aging dataset |
| topic | RE Ophthalmology TK7885 Computer engineering |
| url | http://irep.iium.edu.my/39631/ http://irep.iium.edu.my/39631/ http://irep.iium.edu.my/39631/1/IWBBIO_2014_paper_131.pdf http://irep.iium.edu.my/39631/4/IWBBIO_2014_DEFINITIVE_PROGRAM.pdf |