Abstract
Provided with evolved functionalities, a digestive endoscopy atlas can be used as a tool of training and even of diagnosis aid. The architecture of such a system is leaning on two bases, one of endoscopic knowledge another of case iconography. Being inspired by medical practice, a bi-leveled – disease knowledge base allows a classification of possible diagnoses and a case selection of the endoscopic case base, enabling the similarity step to complete the retrieval. This project benefits at many levels from the “pixelization paradigm”. Indeed, to visualize the Knowledge and Case bases is of great interest, but it’s more exciting to visualize the steps of the classification and of the similar case retrieval by the generation of images confronting the knowledge base and the case base to the new case.
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Le Guillou, C., Cauvin, JM., Solaiman, B., Robaszkiewicz, M., Roux, C. (2007). From Endoscopic Imaging and Knowledge to Semantic Formal Images. In: Lévy, P.P., et al. Pixelization Paradigm. VIEW 2006. Lecture Notes in Computer Science, vol 4370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71027-1_17
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DOI: https://doi.org/10.1007/978-3-540-71027-1_17
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