Fundus image quality assessment and lesion detection algorithm for diabetic retinopathy screening

Abstract

Diabetic Retinopathy is an optical disease caused by high blood sugar levels of diabetes patients, damaging the inner portion of eye (retina) and people have been affected of this disease for a long time. With an increasing prevalence, it can cause visual impairment if left undiagnosed and untreated. This disease is expected to increase in the near future. Only by the proper detection and treatment one could prevent their vision loss. newlineThe image of interior facing of the eye is known as fundus image. This fundus image is important for ophthalmologist to identify and detect vision related diseases. At present, the stages of diabetic retinopathy diagnosis is analyzed by ophthalmologist manually, so it takes a long time to diagnosis the disease. The automated diagnosis algorithm is the need of the day to diagnosis the disease with less computational time and low cost. For this automated diagnosis five modules have been given in the research. newlineThe first module of the research work is to identify newline