Automatic Understanding of Medical Images Based on Grammar Approach

M. Ogiela
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引用次数: 2

Abstract

In this paper there will be explained what automatic image understanding is and how it can be applied to understand the medical image content. Especially the attention will be focused to show how to solve the automatic interpretation problem for selected class of medical images by application of linguistic approach using special kind picture description languages. A possibility to conduct such an analysis will be presented on the examples of analysis of patterns received during the examinations of wrist bones, but presented methodology is more general and may be used in interpretation task for many other classes of medical visualisation. Further there will be presented both the general description of methodology join with the tasks of machine automatic understanding using linguistic formalism, as well as some detailed examples showing applicability of presented approach to various kind of medical pattern obtained during medical examinations.
基于语法方法的医学图像自动理解
本文将解释什么是自动图像理解,以及如何应用它来理解医学图像内容。重点介绍了如何应用语言方法,利用特殊的图片描述语言,解决选定医学图像类别的自动判读问题。本文将以在检查腕骨时收到的模式分析为例,介绍进行这种分析的可能性,但所提出的方法更为通用,可用于许多其他类别的医学可视化的解释任务。此外,还将介绍方法的一般描述以及使用语言形式主义的机器自动理解任务,以及一些详细的例子,说明所提出的方法对医学检查中获得的各种医学模式的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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