Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/13284
Title: Image processing techniques for feature extraction and diagnosis in video-colonscopy
Authors: Yang, Xin
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 1999
Abstract: 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.
URI: http://hdl.handle.net/10356/13284
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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