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Different Methods for Detecting & Grading Diabetic Retinopathy using Fundus Images – A Review
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Abstract: Diabetes is a disease that occurs when body does not produce enough insulin in order to function properly. Diabetic Retinopathy is vascular disorder which is one of the world‟s leading causes of blindness. This condition can be prevented if, diagnosed and treated in early stage. Ophthalmologists recognize diabetic retinopathy based on features, such as blood vessel area, exudates, hemorrhages, microaneurysms and texture. The work extensively reviews, classifies and compares the algorithms and techniques previously proposed in order to support and provide current and future researchers with an elaborated summary of such algorithms.
Keywords: Diabetic Retinopathy, Microaneurysms, Blood Vessel area, Fundus images.
Keywords: Diabetic Retinopathy, Microaneurysms, Blood Vessel area, Fundus images.
How to Cite:
[1] Manisha Laxman Jadhav, Dr. M. Z. Shaikh, “Different Methods for Detecting & Grading Diabetic Retinopathy using Fundus Images – A Review,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2016.4354
