医学模式语义理解中的认知建模

L. Ogiela, R. Tadeusiewicz, M. Ogiela
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引用次数: 5

摘要

本文提出了一种基于图像语法的医学结构认知建模新方法。特别讨论了人工智能的方法,专门用于基于句法的语义推理的选择RTG可视化,特别是腿骨。所提出的方法可以描述每个生物结构,其语义特征,并允许制定病理变形的语义含义。该方法证明了基于语义形式化的认知信息学可以用于开发一类新的智能计算机辅助诊断系统。这种系统的作者称之为UBIAS(基于理解的图像分析系统)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Modeling in Medical Pattern Semantic Understanding
In the paper the new approach for cognitive modeling of some medical structures, using picture grammar have been presented. Especially was discussed the method of artificial intelligence dedicated to the syntactic-based semantic inference of selected RTG visualizations with particular attention to the leg bones. The presented methodology makes possible to describe for each biological structure, its semantic characteristics, and allow to formulate a semantic meaning of pathological deformation. Presented approach proofed that cognitive informatics based on semantic formalisms can be used to develop a new classes of intelligent computer-aided diagnosis systems. Such systems authors called UBIAS (understanding based image analysis systems).
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