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: | Theses and Dissertations |
| Language: | English |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/13284 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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