• DocumentCode
    1787302
  • Title

    Does Figure-Text Improve Biomedical Article Retrieval? A Pilot Study

  • Author

    Daekeun You ; Antani, Sameer ; Demner-Fushman, Dina ; Thoma, George R.

  • Author_Institution
    Nat. Libr. of Med., Nat. Inst. of Health, Bethesda, MD, USA
  • fYear
    2014
  • fDate
    27-29 May 2014
  • Firstpage
    471
  • Lastpage
    472
  • Abstract
    Graphical illustrations are often used in biomedical articles to convey statistical results, schematics, etc. They are frequently accompanied with superimposed text annotations, or figure-text. It is generally assumed that this figure-text provides information that complements associated textual metadata, such as the captions, or bibliographic citations for indexing the figures and enhanced retrieval quality. However, to the best of our knowledge nothing in the literature adequately supports the assumption of information gain. In this article, we report the results of a pilot study that compares image retrieval based on figure captions alone to that using figure-text in addition to captions. In the blind study two judges evaluated a set of figures retrieved on the topic of "lung cancer". We find that figure-text could help improve retrieval performance for specific queries.
  • Keywords
    cancer; medical computing; query processing; text analysis; biomedical article retrieval; figure-text; graphical illustration; information gain; lung cancer; retrieval quality; text annotations; Biomedical imaging; Cancer; Image retrieval; Indexing; Libraries; Lungs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/CBMS.2014.95
  • Filename
    6881931