Yale Image Finder (YIF): A new search engine for retrieving biomedical images

Songhua Xu, James McCusker, Michael Krauthammer

Research output: Contribution to journalArticlepeer-review

84 Scopus citations

Abstract

Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers.

Original languageEnglish (US)
Pages (from-to)1968-1970
Number of pages3
JournalBioinformatics
Volume24
Issue number17
DOIs
StatePublished - Sep 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint

Dive into the research topics of 'Yale Image Finder (YIF): A new search engine for retrieving biomedical images'. Together they form a unique fingerprint.

Cite this