Overview of the third workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012)

Henning Müller*, Hayit Greenspan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The third workshop on Medical Content-based Retrieval for Clinical Decision Support (MCBR-CDS 2012) took place in connection with the MICCAI conference (Medical Image Computing for Computer-Assisted Intervention) in Nice, France on October 1, 2012. This text gives an overview of the invited presentations and scientific papers presented at the workshop. In the description of the papers the comments and discussions at the workshop are taken into account, highlighting the current tendencies and scientific merits. The workshop finished with a panel that discussed the need of clients of image retrieval software and additional important areas such as the importance of high-quality annotated training and test data sets to advance current research. Such big data sets and a framework for researchers to work on them can have an important impact on the field of image-based decision support in the future.

Original languageEnglish
Title of host publicationMedical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Revised Selected Papers
Pages1-9
Number of pages9
DOIs
StatePublished - 2013
Event3rd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2012 - Nice, France
Duration: 1 Oct 20121 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7723 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2012
Country/TerritoryFrance
CityNice
Period1/10/121/10/12

Keywords

  • clinical decision support
  • content-based medical image retrieval
  • medical image analysis
  • medical information retrieval

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