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RSWK

Information

Subject

Information

Theme

Information

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Abstract

Large amounts of medical visual data are produced in hospitals daily and made available continuously via publications in the scientific literature, representing the medical knowledge. However, it is not always easy to find the desired information and in clinical routine the time to fulfil an information need is often very limited. Information retrieval systems are a useful tool to provide access to these documents/images in the biomedical literature related to information needs of medical professionals. Shangri-La is a medical retrieval system that can potentially help clinicians to make decisions on difficult cases. It retrieves articles from the biomedical literature when querying a case description and attached images. The system is based on a multimodal retrieval approach with a focus on the integration of visual information connected to text. The approach includes a query-adaptive multimodal fusion criterion that analyses if visual features are suitable to be fused with text for the retrieval. Furthermore, image modality information is integrated in the retrieval step. The approach is evaluated using the ImageCLEFmed 2013 medical retrieval benchmark and can thus be compared to other approaches. Results show that the final approach outperforms the best multimodal approach submitted to ImageCLEFmed 2013.

Footnote

Beitrag in einem Special issue on biomedical information retrieval.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2587-2601

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Source

nfd Information - Wissenschaft und Praxis. 49(1998) H.7, S.431-439

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Abstract

Für Wörter gibt es Wörterbücher und für Texte gibt es Suchmaschinen, die sie nach Wörtern durchsuchen können. wie aber kann man Multimediadaten wie Bilder, Videos oder Musik verwalten und greifbar machen? Die Lösung heißt Content Based Image Retrieval (inhaltsbasierte Bildersuche): Wie man aus einer Ansammlung von Millionen Pixel die wirklich wichtigen Information herauszieht, erklärt unser Grundlagenartikel

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Source

Journal of the American Society for Information Science and technology. 52(2001) no.11, S.961-968

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