• JANANI PRIYA M
• YAMUNA G

DIABETIC RETINOPATHY is caused by damage to blood vessels of light sensitive tissue (retina) at the back of eye. Retina is responsible for sensing light and sending a signal to brain. Our goal was to distinguish between diabetic retinopathy (DR) and healthy controls (HC) by evaluating images using different deep learning methods. Retinal fundus image analysis (RFIA) for diabetic retinopathy screening can be used to reduce the risk of blindness among diabetic patients. We can also include other data such as thickness maps of intra retinal layers and retinal angiography using deep learning process to improve diagnostic accuracy. In our future work we can enlarge the sample size for moderate and severe DR patients.

DR- DIABETIC RETINOPATHY

"DETECTION OF DIABETIC RETINOPATHY BY VARIOUS METHODS USING DEEP LEARNING ALGORITHM A SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.a583-a590, December-2022, Available :http://www.jetir.org/papers/JETIR2212068.pdf

"DETECTION OF DIABETIC RETINOPATHY BY VARIOUS METHODS USING DEEP LEARNING ALGORITHM A SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppa583-a590, December-2022, Available at : http://www.jetir.org/papers/JETIR2212068.pdf