• DocumentCode
    2341577
  • Title

    Computer-Aided Detection for Pulmonary Nodules Base on the Morphological and Spatial Features

  • Author

    Guan Yudong ; Wang Yong ; Zou Yang ; Li Yanfen ; Mingxin Liu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Pulmonary nodules usually act as the early stage characterization of lung cancer. It´s a crucial way to control the disease and reduce the mortality by further examination on the diagnosis of pulmonary nodules. But the large number of the image data and lesion analysis make difficulties to radiology expert for the correctness and effectiveness. So the computer-aided detection for the pulmonary nodules turns out to be the hot subject of medical image processing. In this paper, we follow the classic step in detecting the nodules and propose an effective algorithm based on the morphology and spatial relationship to search the lesion. The experimental results show that our proposal provides an extremely effective way to locate the nodules.
  • Keywords
    cancer; medical computing; medical image processing; radiology; computer-aided detection; disease control; image data; lung cancer; medical image processing; morphological features; pulmonary nodule diagnosis; radiology expert; spatial features; Biomedical image processing; Cancer; Data analysis; Diseases; Image analysis; Lesions; Lungs; Morphology; Proposals; Radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5315-3
  • Type

    conf

  • DOI
    10.1109/ICBECS.2010.5462500
  • Filename
    5462500