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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150105
Doc. No : ET21897
Main Entry : Michael Duane Twa, B.A., O.D., M.S
Title Proper : STRUCTURAL CLASSIFICATION OF GLAUCOMATOUS OPTIC NEUROPATHY
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Glaucoma is a leading cause of blindness. Quantitative methods of imaging theoptic nerve head (e.g. confocal scanning laser tomography) are increasingly used todiagnose glaucomatous optic neuropathy and monitor its progression, yet there isconsiderable controversy about how to interpret and make best use of this structuralinformation.In this research, machine learning methods are proposed and evaluated as alternativesto current methods of disease classification. First, multiple mathematicalmodeling methods such as radial polynomials, wavelet analysis and B-spline fittingwere used to reconstruct topographic descriptions of the optic nerve head and,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45089.pdf
Title and statement of responsibility and : STRUCTURAL CLASSIFICATION OF GLAUCOMATOUS OPTIC NEUROPATHY [Thesis]
 
 
 
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