• DocumentCode
    3257403
  • Title

    An intelligent system for integrating semantic and iconic features for image retrieval

  • Author

    Tang, Lilian H. ; Hanka, Rudolf ; Ip, Horace H S ; Cheung, Kent K T ; Lam, Ringo

  • Author_Institution
    Sch. of Electron., Surrey Univ., Guildford, UK
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    240
  • Lastpage
    246
  • Abstract
    The I-Browse project aimed to develop a prototype system to provide facilities for supporting intelligent retrieval of medical images through a combination of iconic and semantic content. The resulting prototype system, I-Browse, is able to extract and represent relevant iconic and semantic information from input images and to automatically generate textual annotations for images. Techniques were also developed for retrieving relevant images from the database given either an example image query or a textual query. The facilities provided by I-Browse were evaluated by medical colleagues and judged to have the potential of alleviating some of the time-consuming tasks that doctors now have to perform daily and providing a means of identifying previously unknown relationships between visual appearance and histological events
  • Keywords
    deductive databases; image retrieval; medical image processing; medical information systems; visual databases; I-Browse project; histological events; iconic features; image database; image query; intelligent system; medical image processing; medical image retrieval; prototype system; semantic features; textual annotations; textual query; visual appearance; Biomedical imaging; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Intelligent systems; Magnetic resonance imaging; Medical diagnostic imaging; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International 2001. Proceedings
  • Conference_Location
    Hong Kong
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-1007-8
  • Type

    conf

  • DOI
    10.1109/CGI.2001.934680
  • Filename
    934680