Some investigations on eye disease Classification using deep learning Techniques

Abstract

There are different eye diseases namely diabetic retinopathy, newlinediabetic macular edema, Early Age-related macular degeneration, Late Agerelated newlinemacular degeneration etc. It is identified that Diabetic Retinopathy is newlinethe major cause for eye blindness among the diabetes if it is not detected at an newlineearlier stage. Diabetic retinopathy occurs for the long term diabetes or newlinediabetic patients. Diabetic retinopathy refers to the condition when the blood newlinevessels of the light sensitive tissue at the back of the eye or retina is affected newlineor damaged for the diabetes. The four different stages of this disease are newlinedetected by the variations in the structure of the blood vessels of the retina. newlineThe diabetic retinopathy is characterized by the presence of one or newlinemore symptoms such as microaneurysms, hemorrhages, exudates etc in the newlineretina image of the human eye. There are 4 different stages or severity levels newlineof diabetic retinopathy. The first level of diabetic retinopathy is characterized newlineby the presence one to five microaneurysms. It is called as Mild diabetic newlineretinopathy. The diabetic retinopathy advances from the mild stage to the newlineadvanced proliferative stage if it is not recognized at earlier time. The loss of newlineblindness can be avoided by proper screening and appropriate treatment at newlinecorrect time. Diabetic patients are advised to perform the regular eye checkup newlineto find any sign of diabetic retinopathy. Retinal fundus images are used for newlineanalysis to predict the diabetic retinopathy. If humans are used for analysis, newlinethen it becomes really time-consuming and may lead to error in the decision. newlineTherefore, automatic computer-aided diagnosis and classification of diabetic newlineretinopathy are recommended newline