• DocumentCode
    1692853
  • Title

    The results in the clinical trial of CAD system for lung cancer using helical CT images

  • Author

    Kubota, K. ; Kubo, M. ; Kawata, Y. ; Niki, N. ; Eguchi, K. ; Omatsu, H. ; Kakinuma, R. ; Kaneko, M. ; Moriyama, N.

  • Author_Institution
    Dept. Opt. Sci., Tokushima Univ., Japan
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    313
  • Abstract
    We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage from helical CT images. In July 1997, we started the comparative field trial using our system prospectively. Chest CT images obtained by helical CT scanner have drawn great interest in the detection of suspicious regions. However, mass screening based on helical CT images leads to a considerable number of images to be diagnosed. We expect that our system can reduce the time complexity and increase diagnostic confidence. We describe the results of nodule detection for definite diagnosis. We show the prospective results and the retrospective results. These results show that the system can detect lung cancer candidates at an early stage successfully and can be applied to a mass screening
  • Keywords
    cancer; computerised tomography; diagnostic radiography; lung; medical image processing; object detection; tumours; clinical trial; computer aided diagnosis; computer assisted automatic detection; definite diagnosis; helical CT images; lung cancer; mass screening; nodule detection; tumor; Area measurement; Cancer detection; Clinical trials; Computed tomography; Hospitals; Image analysis; Lung neoplasms; Optical computing; Prototypes; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959016
  • Filename
    959016