• DocumentCode
    1733125
  • Title

    Research on application of Lucene in medical image retrieval system

  • Author

    Cui, Wencheng ; Xu, Mengjia ; Sun, Huayu ; Shao, Hong

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    661
  • Lastpage
    664
  • Abstract
    The medical imaging technology widely used in the medical domain, the massive medical images produced in the clinic has an important reference value to the medical scientific research, but for its large quantity and difficult to manage, the efficiency and accuracy in the retrieval are still insufficient. Lucene is architecture with a full-text search engine, providing the complete query and index engine. Several kinds of station search engine can be developed based on it. The architecture of medical image retrieval system is designed with ExtJS, Struts2, Spring, Hibernate and Lucene, including preprocessing, index establishment and resource retrieval. The retrieval efficiency of this system is high and the function is perfect.
  • Keywords
    image retrieval; indexing; medical information systems; query processing; search engines; ExtJS; Hibernate; Lucene; Spring; Struts2; clinic; full-text search engine; index engine; index establishment; medical image retrieval system; medical imaging technology; medical scientific research; query engine; resource retrieval; DICOM; Image segmentation; Indexes; Medical diagnostic imaging; Stomach; Sun; Framework; Image Retrieval; Index; Lucene; Medical Image; Search Engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182053
  • Filename
    6182053