Detection of Various Diseases using Retinal Image

Abstract

The project gives the people an insight of how fundus image processing can be used for identifying various human disease. A review of human diseases that can be diagnosed using fundus image is done. The changes in eyes especially the retina acts as the objective measure which captures the change in cell using which the detection is performed. The aim of this project is to show the importance of retinol images in finding various human disorders. Retinol is nothing but a derivative of vitamin A which plays a crucial role in human body like vision, growth regulation etc. Changes in the level of retinol can cause diseases in human. The severity of disease may range from simple metabolic disorders to dangerous cardiovascular disease. The development in technology has enabled us to use fundus images in finding diseases like Diabetic retinopathy, Glaucoma, Age macular degeneration and cardiovascular diseases without involving the medical experts directly.