Recently, due to rapidly increase in the diabetic patients, diabetes is one of the biggest health challenges in the age group of 22-79 years. Due to the diabetes, patient suffers cataracts, glaucoma and blood vessels inside the eye may damage sight of the patient. This condition is known as “diabetic retinopathy”. Diabetic retinopathy may cause blindness. As Ophthalmology is a significant branch of biomedical field so there is significant need for the computer-aided automated techniques for the pathology identification in human eyes. These automated techniques must be highly accurate and time efficient. In this paper, we primarily review on the importance of identification of all the retinal diseases caused by the diabetes. We also review and analyze the automated techniques, optimized algorithms and methodologies used for the identification of the early and advance stages of the retinal diseases caused by diabetes along with the severity of the disease. The proposed work also gives information of available public data set on which algorithms are tested and trained. This paper also briefly touches the imaging method involved for acquiring the fundus, the gold standard rule for data set and imaging.
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