TY  - JOUR
A1  - Xu, Songhua
A1  - McCusker, James
A1  - Krauthammer, Michael
T1  - Yale Image Finder (YIF): a new search engine for retrieving biomedical images.
JO  - Bioinformatics (Oxford, England)
Y1  - 2008/09/01
VL  - 24
IS  - 17
SP  - 1968
EP  - 70
SN  - 1367-4811
AD  - Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520, USA.
N2  -  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/
ID  - 18614584.001
ER  -