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 language | English (US) |
|---|---|
| Title of host publication | Third Int Conf Tools Artif Intell |
| Publisher | Publ by IEEE |
| Pages | 480-487 |
| Number of pages | 8 |
| ISBN (Print) | 0818623004 |
| State | Published - Jan 1 1992 |
| Event | Third International Conference on Tools for Artificial Intelligence - San Jose, CA, USA Duration: Nov 5 1991 → Nov 8 1991 |
Other
| Other | Third International Conference on Tools for Artificial Intelligence |
|---|---|
| City | San Jose, CA, USA |
| Period | 11/5/91 → 11/8/91 |
ASJC Scopus subject areas
- Engineering(all)