Computerized detection of abnormalities in endoscopic oesophageal images

Computerized detection of abnormalities in endoscopic oesophageal images

The research work comprises four segments: extracting lumen boundary, detecting lumen related abnormalities, forming a suitable colour segmentation framework, and classifying abnormalities using colour characteristics, applied to oesophageal images. Considering that an accurate determination of lume...

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Main Author: Xue, Zhiyun.
Other Authors: Lin, Zhenyong
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:http://hdl.handle.net/10356/3812
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3812
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spelling sg-ntu-dr.10356-38122023-07-04T15:01:44Z Computerized detection of abnormalities in endoscopic oesophageal images Xue, Zhiyun. Lin, Zhenyong School of Electrical and Electronic Engineering Krishnan, Shankar Muthu DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The research work comprises four segments: extracting lumen boundary, detecting lumen related abnormalities, forming a suitable colour segmentation framework, and classifying abnormalities using colour characteristics, applied to oesophageal images. Considering that an accurate determination of lumen boundary is important in the navigation of the endoscope in oesophagoscopy, a new method is proposed for automatic detection and extraction of lumen boundary of oesophagus. The proposed technique involves pre-processing, histogram analysis, region growing, post-processing, Master of Engineering 2008-09-17T09:38:03Z 2008-09-17T09:38:03Z 2000 2000 Thesis http://hdl.handle.net/10356/3812 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
Xue, Zhiyun.
Computerized detection of abnormalities in endoscopic oesophageal images
description The research work comprises four segments: extracting lumen boundary, detecting lumen related abnormalities, forming a suitable colour segmentation framework, and classifying abnormalities using colour characteristics, applied to oesophageal images. Considering that an accurate determination of lumen boundary is important in the navigation of the endoscope in oesophagoscopy, a new method is proposed for automatic detection and extraction of lumen boundary of oesophagus. The proposed technique involves pre-processing, histogram analysis, region growing, post-processing,
author2 Lin, Zhenyong
author_facet Lin, Zhenyong
Xue, Zhiyun.
format Theses and Dissertations
author Xue, Zhiyun.
author_sort Xue, Zhiyun.
title Computerized detection of abnormalities in endoscopic oesophageal images
title_short Computerized detection of abnormalities in endoscopic oesophageal images
title_full Computerized detection of abnormalities in endoscopic oesophageal images
title_fullStr Computerized detection of abnormalities in endoscopic oesophageal images
title_full_unstemmed Computerized detection of abnormalities in endoscopic oesophageal images
title_sort computerized detection of abnormalities in endoscopic oesophageal images
publishDate 2008
url http://hdl.handle.net/10356/3812
_version_ 1772825345635909632

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