Cognitive Reasoning in Intelligent Medical Information Systems - Visual Data Perception Algorithms in Medical Decision support Systems

This paper presents new approach in application of picture languages for cognitive analysis and reasoning of selected medical visualization. It will be shown new opportunities for applying these methods to undertake tasks of the automatic understanding of image semantics in intelligent medical information or computeraided diagnosis systems. These systems are applied in various tasks supporting decisions taken in the wide area of health care and medical imaging. The possibility of obtaining the information about semantic content of the medical images may contribute considerably to the creation of new intelligent cognitive medical systems. This article shows that structural techniques of artificial intelligence may be applied in the case of tasks related to automatic classification and machine perception of semantic pattern content in order to determine the medical meaning of the images. In the paper, we describe some examples presenting ways of applying such techniques in the creation of cognitive vision systems for selected classes of medical images.