Abstract
Diabetic retinopathy is a disease commonly found in case of diabetes mellitus patients. This disease causes severe damage to retina and may lead to complete or partial visual loss. As changes occurs due to the disease is irreversible in nature, the disease must be detected in early stages to prevent visual loss. One of the most important sign of presence o f diabetic retinopathy in diabetes mellitus patients is the exudates. But detection of exudates in early stages of the disease is extremely difficult only by visual inspection. But an efficient automated computerized system can have the ability to detect the disease in very early stage. In this paper one such method is discussed.
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Kayal, D., Banerjee, S. (2012). An Approach to Detect Hard Exudates Using Normalized Cut Image Segmentation Technique in Digital Retinal Fundus Image. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_13
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DOI: https://doi.org/10.1007/978-3-642-30157-5_13
Publisher Name: Springer, Berlin, Heidelberg
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