Please use this identifier to cite or link to this item: https://doi.org/10.1109/BMEI.2009.5305381
Title: Effective detection of retinal exudates in fundus images
Authors: Wang, H.
Hsu, W. 
Lee, M.L. 
Issue Date: 2009
Source: Wang, H.,Hsu, W.,Lee, M.L. (2009). Effective detection of retinal exudates in fundus images. Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. ScholarBank@NUS Repository. https://doi.org/10.1109/BMEI.2009.5305381
Abstract: Diabetic-related eye diseases are the most common cause of blindness in the world. Early detection through regular screenings is the most effective treatment for these eye diseases. To improve the efficiency of such screenings, it is very important that effectively finding the presence of abnormalities in the retinal images captured during the screenings. In this paper, it is focused on automatically detecting one of the abnormal signs: the presence of exudates/lesions in the retinal images. A novel approach that combines median filtering and dynamic clustering analysis is proposed. Experimental results indicate that the new algorithm is easier, faster and more effective for lesion detection from retinal images of various qualities. ©2009 IEEE.
Source Title: Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/40965
ISBN: 9781424441341
DOI: 10.1109/BMEI.2009.5305381
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