Author : Saurabh Shrikant Athalye 1
Date of Publication :1st June 2023
Abstract: The devastating eye condition known as diabetic retinopathy is a leading cause of blindness in those who are young or middle-aged. The patient has a high risk of losing their vision if they have this condition. Several eye doctors claim that it is difficult to identify this condition in its early stages. We could save the patient's vision if we were able to identify this illness in its early stages. Doctors advise routine eye examinations by experts for this purpose. Nevertheless, a country like India does not have nearly enough professionals to serve its whole population. It is also true that city dwellers have the greatest access to these specialists. There are not enough eye doctors and testing tools in remote locations. In this scenario techniques for automatic detection of the disease using fundus images proves to be a game changer. Advances in machine learning algorithms lead to its use for automatic detection of the DR. This paper proposes the comparative study of the use of few popular machine learning algorithms for automatic DR detection.
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