Classification Of Retinal Fundus Images Using Convolution Neural Network (CNN)

Timely and precise identification of retinal diseases holds paramount significance in preventing vision impairment and enhancing clinical outcomes for patients. This research delves into the application of Deep Learning techniques to categorize and forecast seven prevalent eye ailments: ’opacity,’ ’diabetic retinopathy,’ ’glaucoma,’ ’macular edema,’ ’macular degeneration,’ ’retinal vascular occlusion,’ and ’normal.’ Retinal images play an indispensable role in the diagnosis of these ocular conditions, offering invaluable insights to ophthalmologists. Given the retina’s sensitivity to microvascular alterations associated with various retinal diseases, substantial research efforts have been dedicated to devising early diagnostic approaches grounded in the analysis of medical imagery..