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Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems

By Vassilis Kodogiannis

Abstract

In this paper, an innovative detection system to\ud support medical diagnosis and detection of abnormal lesions\ud by processing endoscopic images is presented. The images\ud used in this study have been obtained using the new M2A\ud Swallowable Imaging Capsule - a patented, video colourimaging disposable capsule. Schemes have been developed to extract new texture features from the texture spectra in the hromatic and achromatic domains for a selected region of nterest from each colour component histogram of endoscopic images. The implementation of an advanced fuzzy inference neural network which combines fuzzy systems and artificial neural networks and the concept of fusion of multiple classifiers dedicated to specific feature parameters have been also adopted in this paper. The detection accuracy of the proposed system has reached to loo%, providing thus an indication that such intelligent schemes could be used as a supplementary diagnostic tool in endoscopy.\u

Topics: UOW3
Publisher: IEEE Computer Society
OAI identifier: oai:westminsterresearch.wmin.ac.uk:2181
Provided by: WestminsterResearch

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