Dempster-Shafer reasoning for medical image recognition

Wei Chung Lin*, Shiuh Yung Chen, Chin Tu Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 T1- 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.

Original languageEnglish (US)
Title of host publicationThird Int Conf Tools Artif Intell
PublisherPubl by IEEE
Pages480-487
Number of pages8
ISBN (Print)0818623004
StatePublished - Jan 1 1992
EventThird International Conference on Tools for Artificial Intelligence - San Jose, CA, USA
Duration: Nov 5 1991Nov 8 1991

Other

OtherThird International Conference on Tools for Artificial Intelligence
CitySan Jose, CA, USA
Period11/5/9111/8/91

ASJC Scopus subject areas

  • Engineering(all)

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