DIABETIC RETINOPATHY DETECTION SYSTEM

DIABETIC RETINOPATHY DETECTION SYSTEM

¹Ms. E. Padma, ²CH.Mani Sravya, ³A.V.N Manaswi

¹Assistant Professor, ²Graduate Student, ³Graduate student

Dept. of Computer Science Engineering,

SCSVMV (Deemed to be University), Enathur, India

Abstract: Among grownup people Diabetic retinopathy (DR) is the primary cause of vision loss.  Having diabetes for a prolonged period leads to DR in every four out of five cases. If this is detected early, more than 90 percent of the new DR cases can be prevented from turning into blindness through proper treatment. Even though we have multiple treatment procedures that are capable to deal with DR, the negligence and failure of early detection of the DR results in patients to lose their precious eyesight. The recent developments in the field Machine Learning (ML) have shown a way in this regard. The condition of a person eyes is automatically detected by using these technologies based on their retinal images.

Keywords: Diabetic retinopathy, Resnet, Deep Learning, Machine Learning, Fundus.