Literature DB >> 18614584

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

Songhua Xu1, James McCusker, Michael Krauthammer.   

Abstract

UNLABELLED: 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/

Mesh:

Year:  2008        PMID: 18614584      PMCID: PMC2732221          DOI: 10.1093/bioinformatics/btn340

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Integrating image data into biomedical text categorization.

Authors:  Hagit Shatkay; Nawei Chen; Dorothea Blostein
Journal:  Bioinformatics       Date:  2006-07-15       Impact factor: 6.937

2.  Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models.

Authors:  Yuntao Qian; Robert F Murphy
Journal:  Bioinformatics       Date:  2007-11-22       Impact factor: 6.937

3.  BioText Search Engine: beyond abstract search.

Authors:  Marti A Hearst; Anna Divoli; Harendra Guturu; Alex Ksikes; Preslav Nakov; Michael A Wooldridge; Jerry Ye
Journal:  Bioinformatics       Date:  2007-06-01       Impact factor: 6.937

4.  The TREC 2004 genomics track categorization task: classifying full text biomedical documents.

Authors:  Aaron M Cohen; William R Hersh
Journal:  J Biomed Discov Collab       Date:  2006-03-14
  4 in total
  34 in total

1.  Mining and integration of pathway diagrams from imaging data.

Authors:  Sergey Kozhenkov; Michael Baitaluk
Journal:  Bioinformatics       Date:  2012-01-20       Impact factor: 6.937

2.  Managing biomedical image metadata for search and retrieval of similar images.

Authors:  Daniel Korenblum; Daniel Rubin; Sandy Napel; Cesar Rodriguez; Chris Beaulieu
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

3.  Hierarchical image classification in the bioscience literature.

Authors:  Daehyun Kim; Hong Yu
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

4.  Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval.

Authors:  Md Mahmudur Rahman; Sameer K Antani; Dina Demner-Fushman; George R Thoma
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-30

5.  Automatic figure classification in bioscience literature.

Authors:  Daehyun Kim; Balaji Polepalli Ramesh; Hong Yu
Journal:  J Biomed Inform       Date:  2011-05-27       Impact factor: 6.317

6.  Evaluating the Importance of Image-related Text for Ad-hoc and Case-based Biomedical Article Retrieval.

Authors:  Matthew S Simpson; Dina Demner-Fushman; George R Thoma
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Full text and figure display improves bioscience literature search.

Authors:  Anna Divoli; Michael A Wooldridge; Marti A Hearst
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

8.  Automatic figure ranking and user interfacing for intelligent figure search.

Authors:  Hong Yu; Feifan Liu; Balaji Polepalli Ramesh
Journal:  PLoS One       Date:  2010-10-07       Impact factor: 3.240

9.  Are figure legends sufficient? Evaluating the contribution of associated text to biomedical figure comprehension.

Authors:  Hong Yu; Shashank Agarwal; Mark Johnston; Aaron Cohen
Journal:  J Biomed Discov Collab       Date:  2009-01-06

10.  Biomedical text mining and its applications.

Authors:  Raul Rodriguez-Esteban
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.