• Poonam Namdev Shelke

The retina is a very sensitive layer present at the back of the human eyeball, which is responsible for sending signals to the brain and visualizing images. Damage to the retina can cause complete vision loss. Many retinal diseases such as glaucoma, macular degeneration, diabetic retinopathy are reasons for complete blindness. Diabetic Retinopathy (DR) is a leading retinal disease which may progress through high glucose level in the blood called diabetes.Increasednumber of patients with diabetes, may resukt in increase in DR patients too. Automatic DR detection may help ophthalmologist to speed up the process of DR diagnosis. Different techniques can be used for this purpose, such as image processing, machine learning, deep learning. In this paper, the survey is carried out based on different techniques used for DR detection and their respective performance.

Retinal disease, Diabetic retinopathy, Image processing, Machine learning, Deep learning.

"Various Approaches for Diabetic Retinopathy Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.446-449, June 2019, Available :http://www.jetir.org/papers/JETIR1906W57.pdf

"Various Approaches for Diabetic Retinopathy Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp446-449, June 2019, Available at : http://www.jetir.org/papers/JETIR1906W57.pdf