Diagnosis Of Diabetic Retinopathy: A Survey
DOI:
https://doi.org/10.5281/zenodo.4902981Keywords:
Diabetic Retinopathy (DR), Deep learning, Convolutional Neural Network (CNN), Fundus ImagesAbstract
Diabetic Retinopathy (DR) which is an eye-related disease that usually occurs in diabetic patients due to an increase in blood sugar content level. As the diabetes progresses in different stages, the patient's eyesight may or may not weaken, which is the sign of the early stage of DR. On increasing blood sugar levels in these patients, DR is a major concern of the world's population as the advanced stage may cause complete vision loss. The early detection is necessary for the treatment, but the diagnosis of DR is difficult and expensive for a common man to afford as the task demands highly qualified doctors to check the existence of different features present at different stages of DR, which leads to time consumption and delay in reports. In this paper we have done a survey on the different techniques used for detection diabetic retinopathy.
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