The detections of retinopathy symptoms and tractional retinal detachment
Since the symptoms of the diabetic retinopathy, macular degeneration, and many other eye diseases are often associated with the bright spots, dark spots, and vascular abnormalities in retinal images, this study proposes a retinopathy image segmentation (system) to extract the bright spots, dark spot...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2016-01-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814015624332 |
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author | Yi-Wen Hung Ming-Yuan Hsieh Ching-Lin Wang Shyr-Shen Yu Yung-Kuan Chan Meng-Feng Tsai Jui-Ming Chen Kwong-Chung Tung |
author_facet | Yi-Wen Hung Ming-Yuan Hsieh Ching-Lin Wang Shyr-Shen Yu Yung-Kuan Chan Meng-Feng Tsai Jui-Ming Chen Kwong-Chung Tung |
author_sort | Yi-Wen Hung |
collection | DOAJ |
description | Since the symptoms of the diabetic retinopathy, macular degeneration, and many other eye diseases are often associated with the bright spots, dark spots, and vascular abnormalities in retinal images, this study proposes a retinopathy image segmentation (system) to extract the bright spots, dark spots, and blood vessels from retinal images. Moreover, since a high proportion of diabetic patients suffer from the diabetic retinopathy with the most severe one to be the retinal detachment, the retinal image-based tractional retinal detachment diagnosis system is proposed, as well. Two genetic-based parameter detectors are given to provide the most appropriate values for the parameters used by the retinopathy image segmentation system and the tractional retinal detachment diagnosis system. The experimental results illustrate that the retinopathy image segmentation system and the tractional retinal detachment diagnosis system can provide expressive results in segmenting bright spots, dark spots, blood vessels, and in diagnosing tractional retinal detachment. Both systems are helpful for the ophthalmologists in diagnosing eye diseases. |
first_indexed | 2024-12-19T19:50:22Z |
format | Article |
id | doaj.art-f7f80393c11d4088a5d91380baca4963 |
institution | Directory Open Access Journal |
issn | 1687-8140 |
language | English |
last_indexed | 2024-12-19T19:50:22Z |
publishDate | 2016-01-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Advances in Mechanical Engineering |
spelling | doaj.art-f7f80393c11d4088a5d91380baca49632022-12-21T20:08:00ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-01-01810.1177/168781401562433210.1177_1687814015624332The detections of retinopathy symptoms and tractional retinal detachmentYi-Wen Hung0Ming-Yuan Hsieh1Ching-Lin Wang2Shyr-Shen Yu3Yung-Kuan Chan4Meng-Feng Tsai5Jui-Ming Chen6Kwong-Chung Tung7Department of Education and Research, Taichung Veterans General Hospital, Taichung, TaiwanDepartment of International Business, National Taichung University of Education, Taichung, TaiwanDepartment of Information Management, National Chin-Yi University of Technology, Taichung, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung, TaiwanDepartment of Management Information Systems, National Chung Hsing University, Taichung, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung, TaiwanDepartment of Endocrinology and Metabolism, Tungs’ Taichung MetroHarbor Hospital, Taichung, TaiwanDepartment of Veterinary Medicine, National Chung Hsing University, Taichung, TaiwanSince the symptoms of the diabetic retinopathy, macular degeneration, and many other eye diseases are often associated with the bright spots, dark spots, and vascular abnormalities in retinal images, this study proposes a retinopathy image segmentation (system) to extract the bright spots, dark spots, and blood vessels from retinal images. Moreover, since a high proportion of diabetic patients suffer from the diabetic retinopathy with the most severe one to be the retinal detachment, the retinal image-based tractional retinal detachment diagnosis system is proposed, as well. Two genetic-based parameter detectors are given to provide the most appropriate values for the parameters used by the retinopathy image segmentation system and the tractional retinal detachment diagnosis system. The experimental results illustrate that the retinopathy image segmentation system and the tractional retinal detachment diagnosis system can provide expressive results in segmenting bright spots, dark spots, blood vessels, and in diagnosing tractional retinal detachment. Both systems are helpful for the ophthalmologists in diagnosing eye diseases.https://doi.org/10.1177/1687814015624332 |
spellingShingle | Yi-Wen Hung Ming-Yuan Hsieh Ching-Lin Wang Shyr-Shen Yu Yung-Kuan Chan Meng-Feng Tsai Jui-Ming Chen Kwong-Chung Tung The detections of retinopathy symptoms and tractional retinal detachment Advances in Mechanical Engineering |
title | The detections of retinopathy symptoms and tractional retinal detachment |
title_full | The detections of retinopathy symptoms and tractional retinal detachment |
title_fullStr | The detections of retinopathy symptoms and tractional retinal detachment |
title_full_unstemmed | The detections of retinopathy symptoms and tractional retinal detachment |
title_short | The detections of retinopathy symptoms and tractional retinal detachment |
title_sort | detections of retinopathy symptoms and tractional retinal detachment |
url | https://doi.org/10.1177/1687814015624332 |
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