Detecting abnormalities in capsule endoscopie images by textural description and neural networks

Abstract

In this paper, a detection system to support medical diagnosis and detection of abnormal lesions by processing endoscopie images is presented. The endoscopic images possess rich information expressed by texture. 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 an advanced neural network scheme 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 method. © Springer-Verlag Berlin Heidelberg 2005.