IJBTT

Detection and Analysis of Diabetic Retinopathy

	International Journal of Computer Trends and Technology (IJCTT)
	© 2018 by IJCTT Journal
	Volume-61 Number-1
	Year of Publication : 2018
	Authors : A.Salinda Eveline Suniram, Dr.R.Suji Pramila, J.P.Jayan
	DOI :  10.14445/22312803/IJCTT-V61P109

MLA Style: A.Salinda Eveline Suniram, Dr.R.Suji Pramila, J.P.Jayan "Detection and Analysis of Diabetic Retinopathy" International Journal of Computer Trends and Technology 61.1 (2018): 44-52.

APA Style:A.Salinda Eveline Suniram, Dr.R.Suji Pramila, J.P.Jayan (2018). Detection and Analysis of Diabetic Retinopathy. International Journal of Computer Trends and Technology, 61(1), 44-52.

Abstract
Diabetic retinopathy (DR) is a retinal disease that is affected by diabetes on the eyes. The main risk of the disease can lead to blindness. Control of the blood glucose levels in the blood system depends on glucose and insulin interaction. Medical image diagnosis plays a major role of research for Health care purposes. DR can be occurred because enough rate of insulin in the body is not secreted properly by the pancreas. If a person has diabetes for 20 years or more, he or she has the more probability to suffer diabetic retinopathy. DR usually shows no symptoms or vision problems at early stage of the disease. However, it can lead blindness eventually. The earliest clinical sign of DR is the detection of microaneurysms (MAs). They are formed due to the leakage of blood from capillary. MAs are small, red dots and spread on the superficial retinal layers. Diabetics risk likely to be developed from a person’s daily life style activity such as his/her eating habits, sleeping habits, physical activity and so on. In the proposed work, screening algorithm and KNN algorithm is used for Screening of DR to prevent blindness. In this algorithm lesions of eye including blood vessel exudates and micro aneurysms are detected using morphological operations. The retina images from standard neural network disease diabetic retinopathy database and local database are used as inputs of proposed work. Thus DR can be detected using the proposed work and it will be useful for further treatment.

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Keywords
Diabetic retinopathy, Gestational DM