Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013

Comput Med Imaging Graph. 2015 Jan:39:55-61. doi: 10.1016/j.compmedimag.2014.03.004. Epub 2014 Mar 27.

Abstract

Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to compare their approaches and ideas on increasingly large and varied data sets including generated ground truth. This article describes the lessons learned in ten evaluation campaigns. A detailed analysis of the data also highlights the value of the resources created.

Keywords: Biomedical literature; Content-based retrieval; Image retrieval; Multimodal medical retrieval; Text-based image retrieval.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Algorithms
  • Artificial Intelligence
  • Documentation / methods
  • Information Storage and Retrieval / methods*
  • Multimodal Imaging / methods*
  • Natural Language Processing*
  • Pattern Recognition, Automated / methods
  • Radiology Information Systems / organization & administration*
  • Subtraction Technique*
  • Terminology as Topic
  • User-Computer Interface
  • Vocabulary, Controlled*