Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques

Wadge, Edmund and Boulougoura, Maria and Kodogiannis, Vassilis (2005) Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques. In: 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2005. CIMSA. IEEE Computer Society, USA, pp. 328-333. ISBN 0780390261

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Official URL: http://dx.doi.org/10.1109/CIMSA.2005.1522889

Abstract

Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture. In this paper schemes have been developed to extract texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images acquired by the new M2A Swallowable Capsule. The implementation of advanced learning-based schemes and the concept of fusion of multiple classifiers have been also adopted in this paper. The preliminary test results support the feasibility of the proposed methodology.

Item Type: Book Section
Uncontrolled Keywords: Medical imaging, Computer aided diagnosis, Endoscopy, Neural networks, Fuzzy integral
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Miss Nina Watts
Date Deposited: 26 Jun 2006
Last Modified: 11 Aug 2010 14:30
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/2188

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