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|Title:||Constrained-MSER detection of retinal pathology|
|Citation:||San, G.L.Y.,Lee, M.L.,Hsu, W. (2012). Constrained-MSER detection of retinal pathology. Proceedings - International Conference on Pattern Recognition : 2059-2062. ScholarBank@NUS Repository.|
|Abstract:||With the increase in age and diabetes-related eye diseases, there is a rising demand for systems which can efficiently screen and locate abnormalities in retinal images. In this paper, we propose a framework that utilizes a variant of the Maximally Stable Extremal Region method, termed C-MSER, to systematically detect various retinopathy pathologies such as microaneurysms, haemorrhages, hard exudates and soft exudates. Experiments on three real-world datasets show that C-MSER is effective for online screening of diabetic retinopathy. © 2012 ICPR Org Committee.|
|Source Title:||Proceedings - International Conference on Pattern Recognition|
|Appears in Collections:||Staff Publications|
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