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Bioinformatics Advance Access originally published online on July 9, 2008
Bioinformatics 2008 24(17):1968-1970; doi:10.1093/bioinformatics/btn340
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© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

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

Songhua Xu 1, James McCusker 2 and Michael Krauthammer 2,*

1Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520 and 2Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA

*To whom correspondence should be addressed.


  Abstract

Summary: 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.

Availability: http://krauthammerlab.med.yale.edu/imagefinder/

Contact: michael.krauthammer{at}yale.edu

Associate Editor: John Quackenbush

Received on February 4, 2008; revised on June 9, 2008; accepted on July 2, 2008

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