A Novel Framework Approach for Diabetic Retinopathy Detection

Abstract

The retinal veins are impacted by a disorder known as diabetic retinopathy (DR). (DR) is an eye disorder that damages the retina's small veins and is defined by the presence of different kinds of damage in the affected area. Among the diagnostic devices employed in the field of DR are the indirect ophthalmoscope, slit lamp examination, color photograph, and optical coherence tomography (OCT). If DR isn't diagnosed in the early stages, it might impair vision and even try to cause blindness. DR is divided into five stages or categories: typical, mild, severe, extreme, and PDR (Proliferative Diabetic Retinopathy). Usually, highly trained specialists examine the shaded fundus images to assess this deadly infection. Laser photocoagulation is still the standard treatment for people with proliferative diabetic retinopathy (PDR), even though it is an inherently bad idea. To naturally recognize DR and its various stages from retina images, several PC vision-based techniques have been developed. However, these methods are unable to decode the confusing hidden inclusions, and they have very poor precision when describing the many stages of DR, particularly the initial stages. The vast majority of the complexities of DR can be avoided with proper blood glucose management and treatment. Setting Diabetic retinopathy (DR) is the main cause of visual impairment in working-class Americans. There are several fresh DR interventions.