Literature DB >> 23304318

Finding and accessing diagrams in biomedical publications.

Tobias Kuhn1, ThaiBinh Luong, Michael Krauthammer.   

Abstract

Complex relationships in biomedical publications are often communicated by diagrams such as bar and line charts, which are a very effective way of summarizing and communicating multi-faceted data sets. Given the ever-increasing amount of published data, we argue that the precise retrieval of such diagrams is of great value for answering specific and otherwise hard-to-meet information needs. To this end, we demonstrate the use of advanced image processing and classification for identifying bar and line charts by the shape and relative location of the different image elements that make up the charts. With recall and precisions of close to 90% for the detection of relevant figures, we discuss the use of this technology in an existing biomedical image search engine, and outline how it enables new forms of literature queries over biomedical relationships that are represented in these charts.

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Mesh:

Year:  2012        PMID: 23304318      PMCID: PMC3540439     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  8 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.  Integrating image data into biomedical text categorization.

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

3.  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

4.  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

5.  Figure mining for biomedical research.

Authors:  Raul Rodriguez-Esteban; Ivan Iossifov
Journal:  Bioinformatics       Date:  2009-05-13       Impact factor: 6.937

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

Authors:  Songhua Xu; James McCusker; Michael Krauthammer
Journal:  Bioinformatics       Date:  2008-07-09       Impact factor: 6.937

7.  A new pivoting and iterative text detection algorithm for biomedical images.

Authors:  Songhua Xu; Michael Krauthammer
Journal:  J Biomed Inform       Date:  2010-09-29       Impact factor: 6.317

Review 8.  Bioimage informatics: a new area of engineering biology.

Authors:  Hanchuan Peng
Journal:  Bioinformatics       Date:  2008-07-04       Impact factor: 6.937

  8 in total
  2 in total

1.  Mining images in biomedical publications: Detection and analysis of gel diagrams.

Authors:  Tobias Kuhn; Mate Levente Nagy; Thaibinh Luong; Michael Krauthammer
Journal:  J Biomed Semantics       Date:  2014-02-25

Review 2.  Mining biomedical images towards valuable information retrieval in biomedical and life sciences.

Authors:  Zeeshan Ahmed; Saman Zeeshan; Thomas Dandekar
Journal:  Database (Oxford)       Date:  2016-08-18       Impact factor: 3.451

  2 in total

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