Retrieving similar cases from the medical literature - The ImageCLEF experience

Jayashree Kalpathy-Cramer, Steven Bedrick, Saïd Radhouani, William Hersh, Ivan Eggel, Charles E. Kahn, Henning Müller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An increasing number of clinicians, researchers, educators and patients routinely search for relevant medical images using search engines on the internet as well as in image archives and PACS systems. However, image retrieval is far less understood and developed compared to text-based searching. The ImageCLEF medical image retrieval task is an international challenge evaluation that enables researchers to assess and compare techniques for medical image retrieval using test collections. In this paper, we describe the development of the ImageCLEF medical image test collection, consisting of a database of images and their associated annotations, as well as a set of realistic search topics and relevance judgments obtained using a set of experts. 2009 was the sixth year for the ImageCLEF medical retrieval task and had strong participation from research groups across the globe. We will provide results from this year's evaluation and discuss the successes that we have had as well as challenges going forward.

Original languageEnglish (US)
Title of host publicationMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PublisherIOS Press
Pages1189-1193
Number of pages5
EditionPART 1
ISBN (Print)9781607505877
DOIs
StatePublished - Jan 1 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: Sep 12 2010Sep 15 2010

Publication series

NameStudies in Health Technology and Informatics
NumberPART 1
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th World Congress on Medical and Health Informatics, Medinfo 2010
CountrySouth Africa
CityCape Town
Period9/12/109/15/10

Keywords

  • Content analysis and indexing
  • Image retrieval
  • Information storage and retrieval
  • Systems and software

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Kalpathy-Cramer, J., Bedrick, S., Radhouani, S., Hersh, W., Eggel, I., Kahn, C. E., & Müller, H. (2010). Retrieving similar cases from the medical literature - The ImageCLEF experience. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics (PART 1 ed., pp. 1189-1193). (Studies in Health Technology and Informatics; Vol. 160, No. PART 1). IOS Press. https://doi.org/10.3233/978-1-60750-588-4-1189