Image processing techniques for feature extraction and diagnosis in video-colonscopy

Image processing techniques for feature extraction and diagnosis in video-colonscopy

Advances in clinical medical imaging have brought about the routine production of vast numbers of medical images that need to be analysed. As a result, an enormous amount of computer vision research effort has been targeted at achieving automatic analysis of medical images. The study in this thesis...

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Main Author: Yang, Xin
Other Authors: Krishnan, Shankar Muthu
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/13284
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13284
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spelling sg-ntu-dr.10356-132842023-07-04T15:30:47Z Image processing techniques for feature extraction and diagnosis in video-colonscopy Yang, Xin Krishnan, Shankar Muthu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Advances in clinical medical imaging have brought about the routine production of vast numbers of medical images that need to be analysed. As a result, an enormous amount of computer vision research effort has been targeted at achieving automatic analysis of medical images. The study in this thesis is motivated by the fact that during video-colonoscopy, a diagnostic procedure clinically used for cancer detection, the navigation of the endoscope inside the colon requires expert experience and the manual detection of abnormalities leads to variability with various endoscopists. Master of Engineering 2008-08-20T03:48:12Z 2008-10-20T07:23:02Z 2008-08-20T03:48:12Z 2008-10-20T07:23:02Z 1999 1999 Thesis http://hdl.handle.net/10356/13284 en 144 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Yang, Xin
Image processing techniques for feature extraction and diagnosis in video-colonscopy
description Advances in clinical medical imaging have brought about the routine production of vast numbers of medical images that need to be analysed. As a result, an enormous amount of computer vision research effort has been targeted at achieving automatic analysis of medical images. The study in this thesis is motivated by the fact that during video-colonoscopy, a diagnostic procedure clinically used for cancer detection, the navigation of the endoscope inside the colon requires expert experience and the manual detection of abnormalities leads to variability with various endoscopists.
author2 Krishnan, Shankar Muthu
author_facet Krishnan, Shankar Muthu
Yang, Xin
format Theses and Dissertations
author Yang, Xin
author_sort Yang, Xin
title Image processing techniques for feature extraction and diagnosis in video-colonscopy
title_short Image processing techniques for feature extraction and diagnosis in video-colonscopy
title_full Image processing techniques for feature extraction and diagnosis in video-colonscopy
title_fullStr Image processing techniques for feature extraction and diagnosis in video-colonscopy
title_full_unstemmed Image processing techniques for feature extraction and diagnosis in video-colonscopy
title_sort image processing techniques for feature extraction and diagnosis in video-colonscopy
publishDate 2008
url http://hdl.handle.net/10356/13284
_version_ 1772826551484678144

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