Automatic prostate boundary recognition in ultrasound images

This thesis describes the research and development of a boundary recognition system for transrectal prostate ultrasound images, aiming to achieve high robustness and speed. This research adopted model-based boundary identification scheme, which has been widely accepted in the boundary identification...

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主要作者: Wu, Ruoyun.
其他作者: Ling, Keck Voon
格式: Theses and Dissertations
出版: 2008
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在線閱讀:http://hdl.handle.net/10356/3777
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機構: Nanyang Technological University
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spelling sg-ntu-dr.10356-37772023-07-04T15:07:46Z Automatic prostate boundary recognition in ultrasound images Wu, Ruoyun. Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This thesis describes the research and development of a boundary recognition system for transrectal prostate ultrasound images, aiming to achieve high robustness and speed. This research adopted model-based boundary identification scheme, which has been widely accepted in the boundary identification community for its robustness. It consists of two techniques: boundary modeling and searching with model constraints. Master of Engineering 2008-09-17T09:37:21Z 2008-09-17T09:37:21Z 2000 2000 Thesis http://hdl.handle.net/10356/3777 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Wu, Ruoyun.
Automatic prostate boundary recognition in ultrasound images
description This thesis describes the research and development of a boundary recognition system for transrectal prostate ultrasound images, aiming to achieve high robustness and speed. This research adopted model-based boundary identification scheme, which has been widely accepted in the boundary identification community for its robustness. It consists of two techniques: boundary modeling and searching with model constraints.
author2 Ling, Keck Voon
author_facet Ling, Keck Voon
Wu, Ruoyun.
format Theses and Dissertations
author Wu, Ruoyun.
author_sort Wu, Ruoyun.
title Automatic prostate boundary recognition in ultrasound images
title_short Automatic prostate boundary recognition in ultrasound images
title_full Automatic prostate boundary recognition in ultrasound images
title_fullStr Automatic prostate boundary recognition in ultrasound images
title_full_unstemmed Automatic prostate boundary recognition in ultrasound images
title_sort automatic prostate boundary recognition in ultrasound images
publishDate 2008
url http://hdl.handle.net/10356/3777
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