Title :
A Computerised Diagnostic Decision Support System in Wireless-Capsule Endoscopy
Author :
Kodogiannis, Vassilis S. ; Lygouras, John N.
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 integrated intelligent framework has been developed for the analysis/diagnosis of wireless capsule endoscopic images. The proposed system extracts 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 and utilises an advanced neural network in a multiple classifier scheme. The preliminary test results support the feasibility of the proposed methodology
Keywords :
biomedical imaging; decision support systems; endoscopes; feature extraction; neural nets; computer aided diagnosis; computerised diagnostic decision support system; feature texture extraction; medical imaging; neural networks; wireless capsule endoscopic image analysis; wireless capsule endoscopic image diagnosis; Biomedical imaging; Competitive intelligence; Data processing; Decision support systems; Endoscopes; Feature extraction; Medical diagnosis; Medical diagnostic imaging; Neural networks; Physics computing; Computer aided Diagnosis; Endoscopy; Medical Imaging; Neural Networks;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348494
