医学图像识别的邓普斯特-谢弗推理

[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91 Pub Date : 1991-11-10 DOI:10.1109/TAI.1991.167029

Wei-Chung Lin, S. Chen, Chin-Tu Chen

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引用次数: 0

摘要

介绍了一种医学图像识别系统，该系统的推理模块利用了D-S理论的兼容帧和多元信念函数等特征。提出的专家系统基于黑板架构，能够模仿人类专家将一组相关的x射线CT和T-1和t2加权MR图像划分为语义上有意义的实体的推理过程。在以黑板为导向的系统中，各种知识来源提供的不同种类的证据形成了一个层次化的证据空间，D-S理论适用于这个证据空间。实验结果说明了该系统的性能。

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Dempster-Shafer reasoning for medical image recognition

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.<>

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[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91

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