Abstract
It is presented a concept of using ontological models as a form of medical knowledge representation for computer-aided interpretation of medical images. The models are based on hyper-relations linking the concepts of visual objects, visualized medical objects and related non-visualized real objects. It is shown that due to the algebra of hyper-relations such ontological models provide a possibility to describe large variety of situations being of particular interest in image interpretation tasks. It is defined an association area of a given concept. In the case of visual objects this makes possible characterization of a class of questions that within the given ontological model can be posed and answered by interpretation of the visual objects under examination.
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Kulikowski, J.L. (2006). Interpretation of Medical Images Based on Ontological Models. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_96
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DOI: https://doi.org/10.1007/11785231_96
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