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Medical Imagery in Case-Based Reasoning

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Case-Based Reasoning on Images and Signals

Part of the book series: Studies in Computational Intelligence ((SCI,volume 73))

Summary

Image processing is an important focus area within case-based reasoning. CBR systems have been developed both to support image-centric functionality such as segmentation, as well as domain-specific imagery applications. In particular, case-based medical applications employ significant imagery elements to support tasks such as diagnosis and treatment planning. Whereas previous surveys have focused either on imagery or on medicine, this chapter takes a look specifically at their conjunction, providing a novel perspective and overview of the main issues and research work in case-based reasoning involving medical imagery.

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Author information

Authors and Affiliations

  1. Department of Software and Information Systems, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC, 28223-0001, USA

    D. C. Wilson

  2. Mobile Emergency Triage (MET) Research Group School of Management, University of Ottawa, ON, K1N 6N5, Canada

    D. O’Sullivan

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  1. D. C. Wilson
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  2. D. O’Sullivan
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Editors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Arno-Nitzsche-Str.43, 04277, Leipzig, Germany

    Petra Perner

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Wilson, D.C., O’Sullivan, D. (2008). Medical Imagery in Case-Based Reasoning. In: Perner, P. (eds) Case-Based Reasoning on Images and Signals. Studies in Computational Intelligence, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73180-1_13

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  • DOI: https://doi.org/10.1007/978-3-540-73180-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73178-8

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