Cognitive Computing in Analysis of 2D/3D Medical Images

This paper will present some possibilities of appli- cation of mathematical linguistic formalisms, in the form of structural pattern recognition, in development a new class of intelligent medical diagnosis-support and image recognition systems. Such methods are aimed to facilitate a semantic analysis of the meaning for some selected medical patterns, especially in the form of 2D spinal cord and leg fracture visualization, and 3D CT coronary arteries reconstructions. The procedures proposed are based on the cognitive reso- nance and categorization model. The application presented in this paper will show the great possibilities of automatic lesion detection in the analysed structures.