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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Reasoning-Based Patient Classification for Enhanced Medical Image Annotation
verfasst von : Sonja Zillner
Erschienen in: The Semantic Web: Research and Applications
Verlag: Springer Berlin Heidelberg
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Medical imaging plays an important role in today’s clinical daily tasks, such as patient screening, diagnosis, treatment planning and follow up. But still a generic and flexible image understanding is missing. Although, there exist several approaches for semantic image annotation, those approaches do not make use of practical clinical knowledge, such as best practice solutions or clinical guidelines. We introduce a knowledge engineering approach aiming for reasoning-based enhancement of medical images annotation by integrating practical clinical knowledge. We will exemplify the reasoning steps of the methodology along a use case for automatic lymphoma patient staging.