A Generic Framework for Semantic Medical Image Retrieval

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A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucient. Therefore semantic annotation is a key concern for an improvement of the relevance in image retrieval applications. In this paper1 we propose a system architecture for an automatic large-scale medical image understanding which aims at a formal fusion of feature extraction techniques operating on the bit-level representation of images (and time series data) with formal background knowledge represented in ontologies. We put forward a hierarchical framework of ontologies to formulate a precise and at the same time generic representation of the existing high level knowledge in the medical domain. We present a system architecture which aims at an ion of high- and low-level features on various abstraction levels allowing cross-modal as well as cross-lingual retrieval through Content Based Image Retrieval (CBIR),...
Manuel Möller, Michael Sintek
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SAMT
Authors Manuel Möller, Michael Sintek
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