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Supervised retinal vessel segmentation based on neural network using broader aging dataset

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.

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Abstract

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).

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6768/39631 -- ISBN:978- 84-15814-84-9, Title: Proceedings IWBBIO 2014 International Work-Conference on Bioinformatics and Biomedical Engineering
Uncontrolled Keywords: Retinal Vessel Segmentation, Neural Network, Aging Dataset
Subjects: R Medicine > RE Ophthalmology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science
Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Mohd Izzuddin Mohd Tamrin
Date Deposited: 12 Dec 2014 10:27
Last Modified: 15 Oct 2015 17:18
URI: http://irep.iium.edu.my/id/eprint/39631

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