Decision support systems in Wireless Capsule Endoscopy: Revisited

Abstract

Decision Support Systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data. In this paper, an intelligent diagnostic system has been developed for the analysis of Wireless Capsule Endoscopic Images. Wireless Capsule Endoscopy (WCE) constitutes a recent technology in which a capsule with micro-camera attached to it, is swallowed by the patient. 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 neural network, based on a modified Expectation Maximisation scheme that incorporates a dynamic structure methodology 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.