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Abstract
Abstract: The retina of the eye is affected by a diabetic condition known as diabetic retinopathy (DR). It causes damage to the light source based on the blood vessels in the human retina. If diabetes is not properly treated, it is more likely to occur, making it the most common cause of visual impairment in adults during their working years. There are procedures for detecting DR, but they need an ophthalmologist to manually examine the retinal image. Deep Convolution neural networks based on the Inception V3 model are used in the design. The model was about 97 percent accurate after undergoing GPU training on 35,126 images that eyePACS made available for public viewing on the Kaggle website. 1
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