The detections of retinopathy symptoms and tractional retinal detachment. (6th January 2016)

• Record Type: Journal Article
• Authors: Hung, Yi-Wen; Hsieh, Ming-Yuan; Wang, Ching-Lin; Yu, Shyr-Shen; Chan, Yung-Kuan; Tsai, Meng-Feng; Chen, Jui-Ming; Tung, Kwong-Chung
• Is Part Of: Advances in mechanical engineering. Volume 8:Number 1(2016:Jan.)
• Publication Date: 2016-01-06
• Subjects: Retinal image -- image segmentation -- tractional retinal detachment -- genetic algorithm; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814015624332
• Languages: English
• ISSNs: 1687-8132

Abstract

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.