Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/336982
Title: Investigations on Plaque Deposition in Carotid Artery Ultrasound Images Using Computational Intelligence
Researcher: Latha S
Guide(s): Dhanalakshmi S
Keywords: Engineering
Engineering and Technology
Mechanics
University: SRM University
Completed Date: 2020
Abstract: Stroke is a serious disability worldwide and is a long term disability which newlineshould be addressed deeply. There is an urgent need to improve diagnostic techniques of newlineatherosclerosis and stroke for plaque assessment, for which intima - media thickness is a newlinebiomarker. newlineThe objective of the work is to carry out a competitive denoising approach for newlinespeckle removal of the carotid artery image, develop a novel efficient hybrid newlinesegmentation technique for IMT detection and plaque characterization and to classify newlinethem as normal or abnormal with machine learning and deep learning techniques newline
Pagination: 
URI: http://hdl.handle.net/10603/336982
Appears in Departments:Department of Electronics and Communication Engineering

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certificate page.pdf279.53 kBAdobe PDFView/Open
chapter 1.pdf805.99 kBAdobe PDFView/Open
chapter 2.pdf1.53 MBAdobe PDFView/Open
chapter 3.pdf1.29 MBAdobe PDFView/Open
chapter 4.pdf680.4 kBAdobe PDFView/Open
chapter 5.pdf1.48 MBAdobe PDFView/Open
chapter 6.pdf182.53 kBAdobe PDFView/Open
list of publications.pdf334.56 kBAdobe PDFView/Open
preliminary pages.pdf678.68 kBAdobe PDFView/Open
references.pdf235.23 kBAdobe PDFView/Open
title page.pdf60.38 kBAdobe PDFView/Open
vitae.pdf144.74 kBAdobe PDFView/Open
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