Manual query modification and automated translation to improve cross-language medical image retrieval

Jeffery R. Jensen, William R. Hersh

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Image retrieval has great potential for a variety of tasks in medicine but is currently underdeveloped. For the ImageCLEF 2005 medical task, we developed a context-based retrieval system. We then conducted our experiment using an automatic query, a manual query, and a manual/visual query. The best results were obtained from manual modification of queries, while combining those results with data from content-based image retrieval had a detrimental effect.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume1171
StatePublished - 2005
Event2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005 - Wien, Austria
Duration: Sep 21 2005Sep 22 2005

Keywords

  • Question answering
  • Questions beyond factoids

ASJC Scopus subject areas

  • General Computer Science

Fingerprint

Dive into the research topics of 'Manual query modification and automated translation to improve cross-language medical image retrieval'. Together they form a unique fingerprint.

Cite this