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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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | http://hdl.handle.net/10356/13284 |
| _version_ | 1811685167722397696 |
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| author | Yang, Xin |
| author2 | Krishnan, Shankar Muthu |
| author_facet | Krishnan, Shankar Muthu Yang, Xin |
| author_sort | Yang, Xin |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T04:40:13Z |
| format | Thesis |
| id | ntu-10356/13284 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:40:13Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Yang, Xin Image processing techniques for feature extraction and diagnosis in video-colonscopy |
| title | 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_short | Image processing techniques for feature extraction and diagnosis in video-colonscopy |
| title_sort | image processing techniques for feature extraction and diagnosis in video colonscopy |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/13284 |
| work_keys_str_mv | AT yangxin imageprocessingtechniquesforfeatureextractionanddiagnosisinvideocolonscopy |