Blood Vessel Segmentation on Retinal Images Using Robust Random Walks (RRW) and Cardiovascular Disease Classification Using Deep Learning

Abstract

In the recent past, retinal image processing has become a popular biomedical modern computer aided diagnosis (CAD) system development technology for the detection and identification of eye related disease such as diabetic retinopathy, exudates, cardiovascular disease, glaucoma, etc. In present ophthalmology, the arrangement of retinal image with appropriate disease segmentation has attained greater attention for disease identification.