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Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device

At present, chronic diseases such as stroke and diabetes mellitus continues to increase. In such medical conditions, if inappropriately treated, complications will easily occur such as visual morbidity, including blindness. According to the World Health Organization, as of 2010 world...

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Main Authors: Kuryati, Kipli, Mohammed Enamul, Hoque, Lim, Lik Thai, Hamdi, M.M.
Format: Article
Language:English
English
Published: UNIMAS Publisher, Universiti Malaysia Sarawak 2019
Subjects:
R Medicine (General)
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/31428/1/Cover%20page%20Jan2019.pdf
http://ir.unimas.my/id/eprint/31428/2/Feature%20Extraction%20Algorithms%20of%20Retinal%20Microvasculature%20for%20Cost-Effective%20Medical%20Device.pdf
http://ir.unimas.my/id/eprint/31428/
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spelling my.unimas.ir.314282020-08-28T01:55:03Z http://ir.unimas.my/id/eprint/31428/ Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device Kuryati, Kipli Mohammed Enamul, Hoque Lim, Lik Thai Hamdi, M.M. R Medicine (General) T Technology (General) TK Electrical engineering. Electronics Nuclear engineering At present, chronic diseases such as stroke and diabetes mellitus continues to increase. In such medical conditions, if inappropriately treated, complications will easily occur such as visual morbidity, including blindness. According to the World Health Organization, as of 2010 worldwide, there are 39 million (13.6%) blind people due to visual morbidity related to chronic diseases. Therefore, this represent the magnitude of urgency needed to come up with technologies capable of preventing the unwanted complication (Mariotti, 2010). Digital image processing is one of the most remarkable advancing disciplines of computer visual image technology which is being widely employed in the modern biomedical imaging systems with increasing accuracy. This includes growing contributions of digital image processing in modern ophthalmic diagnostic systems. The human retina is the only location where blood vessels can be directly visualized non-invasively in vivo. UNIMAS Publisher, Universiti Malaysia Sarawak 2019-01 Article PeerReviewed text en http://ir.unimas.my/id/eprint/31428/1/Cover%20page%20Jan2019.pdf text en http://ir.unimas.my/id/eprint/31428/2/Feature%20Extraction%20Algorithms%20of%20Retinal%20Microvasculature%20for%20Cost-Effective%20Medical%20Device.pdf Kuryati, Kipli and Mohammed Enamul, Hoque and Lim, Lik Thai and Hamdi, M.M. (2019) Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device. Sustainable Community Transformation, 15 (1). pp. 5-6. ISSN 1675-5820
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic R Medicine (General)
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle R Medicine (General)
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Kuryati, Kipli
Mohammed Enamul, Hoque
Lim, Lik Thai
Hamdi, M.M.
Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
description At present, chronic diseases such as stroke and diabetes mellitus continues to increase. In such medical conditions, if inappropriately treated, complications will easily occur such as visual morbidity, including blindness. According to the World Health Organization, as of 2010 worldwide, there are 39 million (13.6%) blind people due to visual morbidity related to chronic diseases. Therefore, this represent the magnitude of urgency needed to come up with technologies capable of preventing the unwanted complication (Mariotti, 2010). Digital image processing is one of the most remarkable advancing disciplines of computer visual image technology which is being widely employed in the modern biomedical imaging systems with increasing accuracy. This includes growing contributions of digital image processing in modern ophthalmic diagnostic systems. The human retina is the only location where blood vessels can be directly visualized non-invasively in vivo.
format Article
author Kuryati, Kipli
Mohammed Enamul, Hoque
Lim, Lik Thai
Hamdi, M.M.
author_facet Kuryati, Kipli
Mohammed Enamul, Hoque
Lim, Lik Thai
Hamdi, M.M.
author_sort Kuryati, Kipli
title Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
title_short Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
title_full Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
title_fullStr Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
title_full_unstemmed Feature Extraction Algorithms of Retinal Microvasculature for Cost-Effective Medical Device
title_sort feature extraction algorithms of retinal microvasculature for cost-effective medical device
publisher UNIMAS Publisher, Universiti Malaysia Sarawak
publishDate 2019
url http://ir.unimas.my/id/eprint/31428/1/Cover%20page%20Jan2019.pdf
http://ir.unimas.my/id/eprint/31428/2/Feature%20Extraction%20Algorithms%20of%20Retinal%20Microvasculature%20for%20Cost-Effective%20Medical%20Device.pdf
http://ir.unimas.my/id/eprint/31428/
_version_ 1677785522349539328
score 13.211869

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