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: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
UNIMAS Publisher, Universiti Malaysia Sarawak
2019
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| Subjects: | |
| 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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| Summary: | 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. |
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