• DocumentCode
    2963334
  • Title

    A hybrid case-based rule-based system used in a content-based image retrieval system

  • Author

    Bradford, Ian ; Evans, Carl ; Winter, Robin

  • Author_Institution
    Middlesex Univ., London
  • fYear
    2008
  • fDate
    9-10 Sept. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Images are an important resource in the diagnosis of skeletal dysplasias. A proof-of-concept system, X-Ray Specs, has been developed for evaluating and experimenting with content-based image retrieval on radiographs of skeletal dysplasias. Its domain-dependent sub-system uses a hybrid case-base/rule-base as an important part of its image classification and retrieval process. This proved more accurate than other classification/retrieval systems tested in X-Ray Specs. The case-base/rule-base sub-system is flexible and could function in any domain where suitable parameters can be extracted.
  • Keywords
    content-based retrieval; diagnostic radiography; image classification; knowledge based systems; medical diagnostic computing; X-ray specs; content-based image retrieval system; domain-dependent subsystem; hybrid case-based rule-based system; image classification; proof-of-concept system; radiographs; skeletal dysplasias; Approximation algorithms; Biomedical imaging; Content based retrieval; Diagnostic radiography; Image retrieval; Knowledge based systems; Medical diagnostic imaging; Shape; Spine; X-ray imaging; Case based reasoning; content based image retrieval; dysmorphology; skeletal dysplasias;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2914-1
  • Electronic_ISBN
    978-1-4244-2915-8
  • Type

    conf

  • DOI
    10.1109/UKRICIS.2008.4798971
  • Filename
    4798971