Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/342909
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dc.coverage.spatial
dc.date.accessioned2021-10-02T12:11:34Z-
dc.date.available2021-10-02T12:11:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/342909-
dc.description.abstractGlaucoma 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
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAutomatic and Efficient Early Diagnosis of Glaucoma Disease in Retinal Fundus Image
dc.title.alternative
dc.creator.researcherShanthi R
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePrabakaran S
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File62.25 kBAdobe PDFView/Open
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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