Abstract
A knowledge base model suitable for automatic interpretation of densities in digital X-ray images is proposed.
A layered model is defined containing relevant knowledge, processes using this knowledge and results provided by the processes themselves.
In particular, a three-level approach is proposed: identification of images, their projection and relative quality control; extraction of significant characteristics relative to normal or pathological signs; formulation of the diagnostic hypotheses considering also historical, clinical and laboratory data.
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Bibliography
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© 1991 Springer-Verlag Berlin Heidelberg
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Braccini, G., Caramella, D., Salvetti, O. (1991). A Knowledge Base Model for the Interpretation of Radiographic Densities. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_91
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DOI: https://doi.org/10.1007/978-3-642-93503-9_91
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