Minimal training time in supervised retinal vessel segmentation
In this paper, we perform comparative analysis between different classifiers using the same experimental setup for supervised retinal vessel segmentation. The aim of this paper is to find supervised classifier that can obtain good segmentation accuracy with minimal training time. Minimizing the trai...
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| Format: | Proceeding Paper |
| Language: | English English English |
| Published: |
IOS Press
2014
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| Online Access: | http://irep.iium.edu.my/40793/ http://irep.iium.edu.my/40793/2/somet201446.pdf http://irep.iium.edu.my/40793/5/front_page.pdf http://irep.iium.edu.my/40793/8/40793_Minimal%20training%20time%20in%20supervised%20retinal%20vessel%20segmentation_SCOPUS.pdf |
| _version_ | 1848782010684801024 |
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| author | Che Azemin, Mohd Zulfaezal |
| author_facet | Che Azemin, Mohd Zulfaezal |
| author_sort | Che Azemin, Mohd Zulfaezal |
| building | IIUM Repository |
| collection | Online Access |
| description | In this paper, we perform comparative analysis between different classifiers using the same experimental setup for supervised retinal vessel segmentation. The aim of this paper is to find supervised classifier that can obtain good segmentation accuracy with minimal training time. Minimizing the training time is essential when dealing with biomedical images. The more samples
introduced to a learning model, the better it can adapt to the unseen data. The results indicate a trade-off between accuracy and training time can be obtained in a
classifier trained by a Neural Network. When tested with a publicly available database, the learning model only requires less than 2 minutes in the learning phase and achieves overall accuracy of 94.54%. |
| first_indexed | 2025-11-14T15:58:40Z |
| format | Proceeding Paper |
| id | iium-40793 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T15:58:40Z |
| publishDate | 2014 |
| publisher | IOS Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-407932017-09-21T12:34:32Z http://irep.iium.edu.my/40793/ Minimal training time in supervised retinal vessel segmentation Che Azemin, Mohd Zulfaezal RE Ophthalmology TA164 Bioengineering In this paper, we perform comparative analysis between different classifiers using the same experimental setup for supervised retinal vessel segmentation. The aim of this paper is to find supervised classifier that can obtain good segmentation accuracy with minimal training time. Minimizing the training time is essential when dealing with biomedical images. The more samples introduced to a learning model, the better it can adapt to the unseen data. The results indicate a trade-off between accuracy and training time can be obtained in a classifier trained by a Neural Network. When tested with a publicly available database, the learning model only requires less than 2 minutes in the learning phase and achieves overall accuracy of 94.54%. IOS Press 2014-09 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/40793/2/somet201446.pdf application/pdf en http://irep.iium.edu.my/40793/5/front_page.pdf application/pdf en http://irep.iium.edu.my/40793/8/40793_Minimal%20training%20time%20in%20supervised%20retinal%20vessel%20segmentation_SCOPUS.pdf Che Azemin, Mohd Zulfaezal (2014) Minimal training time in supervised retinal vessel segmentation. In: 13th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT_14), 22-24 Sept. 2014, Langkawi, Malaysia. http://ebooks.iospress.nl/volumearticle/37348 10.3233/978-1-61499-434-3-631 |
| spellingShingle | RE Ophthalmology TA164 Bioengineering Che Azemin, Mohd Zulfaezal Minimal training time in supervised retinal vessel segmentation |
| title | Minimal training time in supervised retinal vessel segmentation |
| title_full | Minimal training time in supervised retinal vessel segmentation |
| title_fullStr | Minimal training time in supervised retinal vessel segmentation |
| title_full_unstemmed | Minimal training time in supervised retinal vessel segmentation |
| title_short | Minimal training time in supervised retinal vessel segmentation |
| title_sort | minimal training time in supervised retinal vessel segmentation |
| topic | RE Ophthalmology TA164 Bioengineering |
| url | http://irep.iium.edu.my/40793/ http://irep.iium.edu.my/40793/ http://irep.iium.edu.my/40793/ http://irep.iium.edu.my/40793/2/somet201446.pdf http://irep.iium.edu.my/40793/5/front_page.pdf http://irep.iium.edu.my/40793/8/40793_Minimal%20training%20time%20in%20supervised%20retinal%20vessel%20segmentation_SCOPUS.pdf |