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

被引：56

作者：

Xu, Songhua ^{[3
]}

McCusker, James ^{[1
,2
]}

Krauthammer, Michael ^{[1
,2
]}

机构：

[1] Yale Univ, Sch Med, Dept Pathol, New Haven, CT 06510 USA

[2] Yale Ctr Med Informat, New Haven, CT 06510 USA

[3] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA

来源：

BIOINFORMATICS | 2008年 / 24卷 / 17期

关键词：

D O I：

10.1093/bioinformatics/btn340

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1968 / 1970

页数：3

共 6 条

[1]

Cohen Aaron M, 2006, J Biomed Discov Collab, V1, P4, DOI 10.1186/1747-5333-1-4

[2] BioText search engine: beyond abstract search [J].