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

机译:计算机辅助病理变化检测中冠状动脉结构的语义建模

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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,作者讨论了他对使用所选人工智能方法来语义分析医学图像的机会的研究结果。特别地,他将在使用结构图像分析的情况下展示用于制定对所选医学图像的认知分析和理解的系统的语言方法,并且这将通过识别心脏冠状动脉的病理变化来说明。所作问题是重要的,因为冠状动脉血管中显着狭窄的鉴定和位置是一个广泛的实际任务。获得的结果证实了所提出的方法在诊断冠心病中的重要性。

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