Title :
Cognitive Computational Intelligence in Medical Pattern Semantic Understanding
Author_Institution :
AGH Univ. of Sci. & Technol., Krakow
Abstract :
This paper presents some aspects of mathematical methods and linguistic formalisms, in the form of structural pattern recognition, in the development of a new class of intelligent medical diagnosis and image recognition systems cognitive vision systems. Such methods are aimed at facilitating the semantic analysis of the meaning of some selected medical patterns based on the presence of cognitive resonance. When trying to apply this cognitive resonance to the automatic analysis and interpretation of image-type data, the author propose a new class of information systems: UBIAS (understanding based image analysis systems). The UBIAS systems are based on the cognitive resonance and categorization model.
Keywords :
computer vision; image recognition; information systems; linguistics; medical image processing; patient diagnosis; categorization model; cognitive computational intelligence; cognitive resonance; cognitive vision systems; information systems; intelligent medical diagnosis; linguistic formalisms; mathematical methods; medical image recognition systems; medical pattern semantic understanding; structural pattern recognition; understanding based image analysis systems; Biomedical imaging; Competitive intelligence; Computational intelligence; Image analysis; Image recognition; Intelligent structures; Medical diagnosis; Medical diagnostic imaging; Pattern recognition; Resonance; UBIAS-system; cognitive vision systems; computational intelligence; pattern understanding;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.714
