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Semantic Modelling of Coronary Vessel Structures in Computer Aided Detection of Pathological Changes

机译:冠状血管结构的语义建模在病理变化的计算机辅助检测中

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摘要

In the paper, the author discusses the results of his research on the opportunities for using selected artificial intelligence methods to semantically analyse medical images. In particular, he will present attempts at using linguistic methods of structural image analysis to develop systems for the cognitive analysis and understanding of selected medical images, and this will be illustrated by the recognition of pathological changes in coronary arteries of the heart. The problem undertaken is important because the identification and location of significant stenoses in coronary vessels is a widespread practical task. The obtained results confirm the importance of the proposed methods in the diagnosis of coronary heart disease.
机译:在本文中,作者讨论了有关使用选定的人工智能方法对医学图像进行语义分析的机会的研究结果。特别是,他将提出尝试使用结构图像分析的语言方法来开发用于认知分析和理解所选医学图像的系统的方法,这将通过识别心脏冠状动脉的病理变化来说明。所采取的问题很重要,因为在冠状动脉中识别和定位明显的狭窄是一项广泛的实际任务。获得的结果证实了所提出的方法在冠心病诊断中的重要性。

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