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Automated identification of diabetic eye diseases using digital fundus images

Nornha, Kevin Prathap (2015) Automated identification of diabetic eye diseases using digital fundus images. Phd. Thesis thesis, Manipal Institute of Technology, Manipal.

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Abstract

Diabetes mellitus is caused due to the increased glucose level in the blood, affecting vital organs if not treated at the early stage. Human eyes are one such organ affected by diabetes causing diabetic retinopathy (DR), diabetic maculopathy (DM) and glaucoma. DR is basically a micro complication of microvasculature of retina, wherein the tiny blood vessels gets damaged due to increased blood sugar. The visible symptoms begin to manifest on the retina in the form of micro aneurysms (MA) which appear like small red dots. If the glucose level in the blood is not controlled then the fragile capillaries may rupture and causing hemorrhages, hard exudates, cotton wool spots etc. As DR advances it may affect the functioning of the macula resulting in diabetic maculopathy (DM) which may cause significant visual loss among DR patients. DM is characterized by the appearance of hard exudates in macular region and increase in the retinal thickness. When the fluid rich in fat and cholesterol leaks out of the damaged vessels of the retina to the macula, it affects the macular functionality. Again early detection and corrective treatment is the key to prevent loss of vision amongst DM patients. Glaucoma is next to DR in terms of people losing their vision worldwide. It adversely affects the functioning of the optic nerve and thereby causing damage due to the increase in the intraocular pressure (IOP) leading to the visual field loss. Recent studies indicate that there is a relation between prevalent diabetes and incident of glaucoma in diabetic patients. Although there is no cure for glaucoma presently, timely, comprehensive medication and treatment can prevent loss of vision. Symptoms of glaucoma are not always obvious; hence patients seek treatment only when the condition has progressed significantly. Early detection and remedial treatment will decrease the chances of vision loss in glaucoma subjects.

Item Type: Thesis (Phd. Thesis)
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 17 Jun 2017 08:58
Last Modified: 17 Jun 2017 08:58
URI: http://eprints.manipal.edu/id/eprint/149072

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