ABSTRACT
Diabetic retinopathy DR is a major cause of vision loss in diabetic patients. Currently, there is a need for making decisions using intelligent computer algorithms when screening a large volume of data. Diabetic retinopathy is a complication of diabetes that is caused by damage to the small blood vessels of the retina. However, early detection and prompt treatment could prevent the vision loss caused by DR. Premature detection of DR is a challenging task, because patients with DR will have no symptoms until vision loss develops. Hence, person with diabetes should have a comprehensive retina screening once in every year. The DR starts with a mild non-proliferative diabetic retinopathy, which usually does not affect the vision. When vision is affected, it is the result of leaking of fluid in the blood vessels called exudates. Exudates can be hard exudates yellow spots seen in the retina and soft exudates pale yellow or white areas with ill-defined edges. An intelligent computer-aided DR detection system is developed for detecting the exudates in the fundus images. An automated tool can be used for assisting the ophthalmologists in the detection process, which gives attention to diabetic patients in receiving effective treatment. The screening tool utilizes intelligent computer algorithms to automatically analyze the features of DR and detect early signs of pathology.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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