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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10761/188

Data: 4-mag-2011
Autori: Granata, Eliana
Titolo: 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.
InArea 01 - Scienze matematiche e informatiche

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