Cognitive Categorization in Medical Structures Modeling and Image Understanding

This study presents new classes of cognitive categorization systems, with particular emphasis on one selected system class: UBIAS (Understanding Based Image Analysis Systems) used to analyze images. The purpose of defining new classes of cognitive categorization systems is to conduct an in-depth analysis of various kinds of data with particular attention to the semantic/meaning contents of the data analyzed. The presented techniques of semantic analysis are based on using cognitive data analysis. This paper presents new opportunities for applying cognitive categorization techniques to model semantic interpretations of selected medical images. Methods of computational intelligence for developing a syntactic-based semantic description of selected medical visualizations with particular attention to leg bones are detailed. The presented methodology makes it possible to find, for each biological structure, its semantic description and allows the semantic meaning of visible deformation or pathology to be formulated. The presented approach also proves that artificial intelligence methods based on linguistic mechanisms can be used to develop new classes of intelligent information systems – UBIAS Systems.