Please use this identifier to cite or link to this item:
|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|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.