• DocumentCode
    3144762
  • Title

    The research of semantic content applied to brain CT images

  • Author

    Miao, Yumei ; Wang, Yimin ; Miao, Yusong

  • Author_Institution
    Coll. of Remote Sensing Information, Wuhan Univ., China
  • fYear
    2004
  • fDate
    24-25 June 2004
  • Firstpage
    582
  • Lastpage
    587
  • Abstract
    The brain CT image database is the result of the efforts made at the No. 161 Center Hospital for accurately diagnosing encephalic illness. How to prevent the man-made error and improve the interpret level for brain CT images, is the purpose of this database, also for our paper. So the intelligent brain CT image retrieval process become important. In our paper, we discuss four stages in content-based semantic retrieval. Finally, we apply a new complex similarity query algorithm to fulfill the image retrieval.
  • Keywords
    brain; computerised tomography; content-based retrieval; image retrieval; medical diagnostic computing; visual databases; brain CT image database; complex similarity query algorithm; content-based semantic retrieval; encephalic illness diagnosis; intelligent brain CT image retrieval; Biomedical imaging; Computed tomography; Content based retrieval; Hemorrhaging; Humans; Image databases; Image retrieval; Medical diagnostic imaging; Natural languages; Picture archiving and communication systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2104-5
  • Type

    conf

  • DOI
    10.1109/CBMS.2004.1311778
  • Filename
    1311778