Title :
Dempster-Shafer reasoning for medical image recognition
Author :
Lin, Wei-Chung ; Chen, Shiuh-Yung ; Chen, Chin-Tu
Author_Institution :
Dept. of Electr. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
A medical image recognition system is described whose reasoning module uses the features of the Dempster-Shafer (D-S) theory such as compatible frames and multivariate belief functions. The proposed expert system, which is based on the blackboard architecture, is capable of mimicking the reasoning process of a human expert in dividing a set of correlated X-ray CT and T-1 and T2-weighted MR images into semantically meaningful entities. In the blackboard-oriented system, different kinds of evidence provided by various knowledge sources form a hierarchy of evidential space to which D-S theory is applied. Several experimental results are given to illustrate the performance of the proposed system
Keywords :
artificial intelligence; biomedical NMR; computerised pattern recognition; computerised tomography; expert systems; medical diagnostic computing; Dempster-Shafer reasoning; T2-weighted MR images; X-ray CT; blackboard architecture; compatible frames; expert system; medical image recognition; multivariate belief functions; semantically meaningful entities; Bayesian methods; Biomedical imaging; Computed tomography; Computer science; Expert systems; Humans; Image recognition; Medical expert systems; Radiology; X-ray imaging;
Conference_Titel :
Tools for Artificial Intelligence, 1991. TAI '91., Third International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-8186-2300-4
DOI :
10.1109/TAI.1991.167029
