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|Issue Date: ||4-May-2011|
|Authors: ||Granata, Eliana|
|Title: ||Automatic classification of frames from wireless capsule endoscopy|
|Abstract: ||Wireless Capsule Endoscopy (WCE) is a technical break-through that allows to produce a video of the entire intestine without surgery.
Interpretation of WCE video is nowadays largely left to the visual inspection of a medical specialist. This tedious and time consuming task could greatly benefit from techniques that automatically classify and exclude from further processing the non-relevant frames in the video.
In this dissertation several distinctive methods to tackle the problem of automatic classification of image frames belonging to a WCE video are presented. In particular we focuses two areas: sudden changes discrimination and intestinal motility detection in a WCE video.
The achieved high detection accuracy of the proposed systems have provided an indication that such intelligent schemes could be used as a supplementary diagnostic tool in endoscopy.|
|Appears in Collections:||Area 01 - Scienze matematiche e informatiche|
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