Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/342909
Title: Automatic and Efficient Early Diagnosis of Glaucoma Disease in Retinal Fundus Image
Researcher: Shanthi R
Guide(s): Prabakaran S
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: SRM University
Completed Date: 2021
Abstract: Glaucoma is an irreparable neurodegenerative retinal disorder, which is a newlinemajor cause for ocular disability around the world. As per World Health newlineOrganization (WHO) statistical report, more than 65 million humans on the earth newlinehave been affected by Glaucoma. As it is asymptomatic, preventive measures have newlineto be taken to save the vision of the people. The Glaucoma can lead to loss of vision, newlineif it is not detected at the earlier stage. This silent retinal disorder is primarily caused newlineby the optic nerve fibre damage due to the increased intraocular pressure (IOP) newlineinside the eye. An irregular size of the Optic Cup (OC) with respect to Optic Disc newline(OD) expresses the characteristic of a glaucomatous fundus. In this view, several newlinemethods have been available for the OC and OD segmentation for glaucoma newlineidentification in retinal color fundus image newline
Pagination: 
URI: http://hdl.handle.net/10603/342909
Appears in Departments:Department of Computer Science Engineering

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certificate page.pdf38.51 kBAdobe PDFView/Open
chapter 1.pdf384.6 kBAdobe PDFView/Open
chapter 2.pdf299.09 kBAdobe PDFView/Open
chapter 3.pdf397.25 kBAdobe PDFView/Open
chapter 4.pdf534.63 kBAdobe PDFView/Open
chapter 5.pdf463.15 kBAdobe PDFView/Open
chapter 6.pdf578.91 kBAdobe PDFView/Open
chapter 7.pdf24.08 kBAdobe PDFView/Open
curriculam vitae.pdf19.74 kBAdobe PDFView/Open
list of publications.pdf20.8 kBAdobe PDFView/Open
preliminary page.pdf47.97 kBAdobe PDFView/Open
references.pdf85.68 kBAdobe PDFView/Open
title page.pdf49.57 kBAdobe PDFView/Open
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