Abstract
Content based image retrieval (CBIR) systems in the field of medical image analysis are an active field of research. They allow the user to compare a given case with others in order to assist in the diagnostic process. In this work a CBIR system is described working on datasets which are both time- and space-dependent. Different possible feature sets are investigated, in order to explore how these datasets are optimally represented in the corresponding database.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lessmann, B. et al. (2006). Content Based Image Retrieval for Dynamic Time Series Data. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_13
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DOI: https://doi.org/10.1007/3-540-32137-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32136-1
Online ISBN: 978-3-540-32137-8
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