Publication Type : Conference Proceedings
Publisher : ijpam
Source : International Journal of Pure and Applied Mathematics Volume 118 No. 8 2018, 127-132
Url : https://acadpubl.eu/jsi/2018-118-7-9/articles/8/17.pdf
Campus : Coimbatore
School : School of Computing
Year : 2018
Abstract : —Diabetes also known as diabetes mellitus (DM) is
a prominent disease all over the world. It is a metabolic
disorder occurring due to high blood sugar levels over a
prolonged period. Diabetes affecting macular area is called
diabetic maculopathy. Prolonged diabetes will lead to diabetic
retinopathy which affects retina. The identification, grading
and quantification of the disease will help to know the
progress of the disease. So developing automated systems for
identification, grading and quantification of the retinal
pathologies associated with DM is on the rise. The aim of this
project is to grade the different stages of retinopathy in Colour
Fundus images using quantitative features extracted from the
images such asarea, location and count of the hard exudates
and microaneurysms and to evaluate the progress of diabetic
retinopathy. Developing new techniques for grading various
types of diabetic retinopathy based on quantification
algorithms will aid the clinicians to understand the progress of
the disease, which in turn provides us with scope for further
re-search. The image dataset has been collected from Amrita
Institute of Medical Sciences and Research Center. Here the
images are of size 2588*1958.This automation will help the
doctors to analyse the level of the disease and provide
necessary treatments.
Cite this Research Publication : Parvathy Ram and Swapna T R, Profiling of Hard Exudates and Microaneurysms to Evaluate the Progress of Diabetic Retinopathy, International Journal of Pure and Applied Mathematics, 2018, vol.118(8):127-131 ·