Retinal Image Analysis and Diagnosis of Retinal Blood Vascular Diseases using Deep Learning Model

This research has provided a significant contribution in the field of medical health sector, especially for retinal image analysis. The proposed methodology has the potential to diagnose and detect multiple retinal blood vascular diseases with similar visual features, which can be a stand-alone automated detection model. It can help the ophthalmologists detecting two leading causes of blindness; viz. Diabetic Retinopathy and Retinal Vein Occlusion at the earliest stage, thereby, can provide fast-track treatment to prevent total vision loss. This research can also help the patients in the remote areas, where ophthalmologists or the eye specialist are not easily available.