Detecting diabetic retinopathy and diabetic macular edema by using deep learning system (P-0012) (MFN 8642)

Abstract

Diabetic Retinopathy (DR) and Diabetic Macula Edema (DME) are eye ailments caused due to diabetes. One out of two individuals experiencing diabetes have been set out to have some time of DR and DME. Perceiving these maladies is a tedious and manual method that requires a prepared clinician to take a gander at and evaluate. The inspiration driving this hypothesis is to cook the various issues looked by the ophthalmologists while diagnosing DR and DME. A Deep Learning System will give help with the goal that the screening of different patients will be done and among them the patient encountering the extraordinary condition will be given priority. Tensor Flow based utilizes convolution neural systems to take a retinal image, investigate it, and gain proficiency with the qualities of an eye that hints at diabetic retinopathy to identify this condition