Figure mining for biomedical research

  • Authors:
  • Raul Rodriguez-Esteban;Ivan Iossifov

  • Affiliations:
  • -;-

  • Venue:
  • Bioinformatics
  • Year:
  • 2009

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Abstract

Motivation: Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types. Results: This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research. Availability: http://iossifovlab.cshl.edu/figurome Contact: raul.rodriguez-esteban@pfizer.com