An Automated Diabetic Retinopathy Screening and Classification System
Diabetic retinopathy is the chronic eye disease that is the principal cause of permanent vision loss. An automated diabetic retinopathy screening and classification system cannot only aid the ophthalmologists with the efficient, accurate and timed diagnosis of diabetic retinopathy but can also classify diabetic retinopathy according to the severity level. Depending on the severity, the appropriate treatment of the patient can be initiated without any delay. The research questions that will primarily be investigated in the intended research are the diabetic retinopathy screening, grading of diabetic retinopathy into a specific level, and identification of different retinal pathological structures. The main challenge will be to tackle the intensity similarities between the pathological structures (like exudates) and the retinal features (like the optic disc). Furthermore, optic disc detection is highly reliant on photographic illuminations. The poor illumination condition will result in a very dark optic disc region. The accuracy will be highly degraded when the pathological structures are wrongly identified as retinal structures and are removed and vice versa.