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.
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