Recent advancements in automated screening techniques for diabetic retinopathy

Diabetic Retinopathy (DR) is a disease caused due to too high blood sugar level of diabetes that could result in permanent vision loss. It significantly affects the blood vessels of the retina. Early identification, analysis and usual screening of this disease are important for proper processing through computer-based intelligence techniques. The main aim of this paper is to assess the modern strategies for screening, analyzing and diagnosing DR, based on studies related to the detection and evaluation of DR. This paper included research gaps and tables used to summarize various imaging methods, datasets, performance matrices used in the analysis of DR. Now the future studies make a field of the combination of the dataset in addition to strategies to make the generalized approach for detecting the lesion in DR through an automated system. Moreover, numerous studies gaps have additionally been taken into consideration for in addition studies. This overview is useful to the researchers running inside the area of clinical imaging to display screen and diagnose diseases.