Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009

  • Henning Müller
  • Jayashree Kalpathy–Cramer
  • Barbara Caputo
  • Tanveer Syeda-Mahmood
  • Fei Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5853)

Abstract

In this paper, we provide an overview of the first workshop on Medical Content–Based Retrieval for Clinical Decision Support (MCBR–CDS), which was held in conjunction with the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference in 2009 in London, UK. The goal of the workshop was to bring together researchers from diverse communities including medical image analyses, text and image retrieval, data mining, and machine learning to discuss new techniques for multimodal image retrieval and the use of images in clinical decision support. We discuss the motivation for this workshop, provide details about the organization and participation, discuss the current state–of–the–art in clinical image retrieval and the use of images for clinical decision support. We conclude with open issues and challenges that lie ahead for the domain of medical content–based retrieval.

Keywords

Interstitial Lung Disease Image Retrieval Clinical Decision Support Medical Content Image Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Henning Müller
    • 1
    • 2
  • Jayashree Kalpathy–Cramer
    • 3
  • Barbara Caputo
    • 4
  • Tanveer Syeda-Mahmood
    • 5
  • Fei Wang
    • 5
  1. 1.Geneva University Hospitals and University of GenevaSwitzerland
  2. 2.University of Applied Sciences Western Switzerland (HES–SO)SierreSwitzerland
  3. 3.Oregon Health and Sciences Univeristy (OHSU)PortlandUSA
  4. 4.IDIAP research centerMartignySwitzerland
  5. 5.IBM Almaden research centerSan JoseUSA

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