Medical pattern understanding based on cognitive linguistic formalisms and computational intelligence methods

This paper will present the achievements of its authors related to the development of new cognitive information systems classes used in the tasks of automatic understanding of image data semantics. Such systems are a practical implementation of the paradigm for machine semantics understanding of selected image data types, with special regards to various classes of medical images. The development of such systems is possible owing to defining computer procedures of cognitive resonance, as used by the developed new classes of intelligent systems for pattern recognition and semantic reasoning. In particular, we shall present UBIAS (understanding based image analysis systems) system classes, proposed by the authors for the interpretation of medical planar diagnostic images and for the modeling of spatial anatomy structures.