具有自动学习能力的脑肿瘤诊断系统

Ching-Hung Wang, S. Tseng
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引用次数: 8

摘要

介绍了一种医学诊断系统——脑肿瘤诊断系统(BTDS)。BTDS由专家系统和学习系统组成。前者可以帮助诊断人员根据计算机断层扫描图像判断脑肿瘤的病因,后者基于改进的归纳学习方法,特别适用于脑肿瘤病例。利用所提出的学习机制,可以构建初始知识库,并在推理过程中从噪声数据中学习新的规则。介绍了系统实现的思路和过程,提出了系统的学习机制。最后给出了BTDS的实例,并给出了测试结果来评价系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A brain tumor diagnostic system with automatic learning abilities
A medical diagnostic system, BTDS (the brain tumors diagnostic system), is presented. BTDS consists of an expert system and a learning system. The former can help diagnosticians in judging the causes of brain tumors according to computed tomography pictures, and the latter, based on a revised inductive learning method, is especially suitable in the case of brain tumors. By applying the proposed learning mechanism, the initial knowledge base can be constructed and new rules can be learned from noise data in the process of inference. The consideration and process of system implementation is introduced, and the learning mechanism is presented. An example is given to illustrate BTDS, and the test results are shown to evaluate the performance of the system.<>
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