A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
RadSem: Semantic Annotation and Retrieval for Medical Images
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Improving understandability of semantic search explanations
International Journal of Knowledge Engineering and Data Mining
Constructing understandable explanations for semantic search results
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
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Even within constrained domains like medicine there are no truly generic methods for automatic image parsing and annotation. Despite the fact that the precision and sophistication of image understanding methods have improved to cope with the increasing amount and complexity of the data, the improvements have not resulted in more flexible or generic image understanding techniques. Instead, the analysis methods are object specific and modality dependent. Consequently, current image search techniques are still dependent on the manual and subjective association of keywords to images for retrieval. Manually annotating the vast numbers of images which are generated and archived in the medical practice is not an option.