The imageCLEFmed medical image retrieval task test collection

William Hersh, Henning Müller, Jayashree Kalpathy-Cramer

Research output: Contribution to journalReview article

32 Scopus citations

Abstract

A growing number of clinicians, educators, researchers, and others use digital images in their work and search for them via image retrieval systems. Yet, this area of information retrieval is much less understood and developed than searching for text-based content, such as biomedical literature and its derivations. The goal of the ImageCLEF medical image retrieval task (ImageCLEFmed) is to improve understanding and system capability in search for medical images. In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users. We also provide baseline results with the new collection and describe them in the context of past research with portions of the collection.

Original languageEnglish (US)
Pages (from-to)648-655
Number of pages8
JournalJournal of Digital Imaging
Volume22
Issue number6
DOIs
StatePublished - Dec 1 2009

Keywords

  • Eval
  • ImageCLEF
  • Medical image retrieval
  • Precision
  • Recall
  • Test collection

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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