DIABETIC RETINOPATHY
Mr. P. Pandiyarajan ME
Rathinam College of Arts and Science
Coimbatore, India
pandi.knp@gmail.com
Prasanna V
Bachelor of Computer Application with specialisation in Artificial Intelligence
Rathinam College of Arts and Science
Coimbatore, India
vjprasanna18@gmail.com
Abstract— One of the most common causes of vision impairment in the developed world is diabetic retinopathy (DR). It is brought on by complications from type 2 diabetes. Although vision impairment is not always a complication of diabetes, roughly 2% of those with this illness are blind, and 10% experience vision loss after 15 years of diabetes as a result of DR consequences. Patients with DR do not experience symptoms until visual loss begins. Therefore, diabetic individuals need annual eye fundus examinations utilising digital retinal photography to make sure the therapy is administered on schedule. The goal of screening programmes is to identify potentially blinding disorders early enough to allow for prompt and efficient treatment. By 2030, there are expected to be 336 million people with diabetes, up from the estimated prevalence of 171 million in 2000. In order to reduce this anticipated rise in the screening workload, there is consequently a lot of interest in the possibilities of automated retinal picture analysis. Assessing the treatments and risk factors for this common complication of diabetes requires categorization of the severity of diabetic retinopathy and quantification of diabetic alterations. The use of digital images for eye disease diagnostics vii may be utilised for automated early identification of DR. A system that non-specialists might use to screen out cases of patients who weren't sick would lighten the load on the experts and improve the efficacy of preventive measures and early therapeutic interventions. Additionally, it would benefit public health systems financially because early sickness identification and cost-effective treatments result in significant cost savings.
