WestminsterResearch

A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images

Kodogiannis, Vassilis and Boulougoura, Maria and Lygouras, John N. and Petrounias, Ilias (2007) A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images. Neurocomputing, 70 (4-6). pp. 704-717. ISSN 0925-2312

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1016/j.neucom.2006.10.024

Abstract

Wireless capsule endoscopy (WCE) constitutes a recent technology in which a capsule with micro-camera attached to it, is swallowed by the patient. This paper presents an integrated methodology for detecting abnormal patterns in WCE images. Two issues are being addressed, including the extraction of texture features from the texture spectra in the chromatic and achromatic domains from each colour component histogram of WCE images and the concept of a fusion of multiple classifiers. The implementation of an advanced neuro-fuzzy learning scheme has been also adopted in this paper. The high detection accuracy of the proposed system provides thus an indication that such intelligent schemes could be used as a supplementary diagnostic tool in WCE.

Item Type:Article
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:6032
Deposited On:18 Feb 2009 15:38
Last Modified:14 Oct 2009 15:17

Repository Staff Only: item control page