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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150449
Doc. No : ET22241
Main Entry : Erol Sarigul
Title Proper : Interactive Machine Learning for Refinement and Analysis of Segmented CT/MRI Images
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This dissertation concerns the development of an interactive machine learning methodfor refinement and analysis of segmented computed tomography (CT) images. This methoduses higher-level domain-dependent knowledge to improve initial image segmentation results.A knowledge-based refinement and analysis system requires the formulation of domainknowledge. A serious problem faced by knowledge-based system designers is the knowledgeacquisition bottleneck. Knowledge acquisition is very challenging and an active research topicin the field of machine learning and artificial intelligence.-...,..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 : TL45446.pdf
Title and statement of responsibility and : Interactive Machine Learning for Refinement and Analysis of Segmented CT/MRI Images [Thesis]
 
 
 
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