• DocumentCode
    2631690
  • Title

    A Gabor filter-based classification for diffuse lung opacities in thin-section computed tomography images

  • Author

    Mitani, Y. ; Hirayama, H. ; Yasuda, H. ; Kido, S. ; Hamamoto, Y. ; Ueda, K. ; Matsunaga, N.

  • Author_Institution
    Yamaguchi Junior Coll., Hofu, Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    780
  • Abstract
    The classification of diffuse lung opacities in thin-section computed tomography (HRCT) images is an important step of developing a computer-aided diagnosis (CAD) system. We have evaluated the performance of a Gabor filter-based classification of typical diffuse lung opacities in HRCT images. The experimental results show that the Gabor filter-based approach is an effective means of classifying diffuse lung diseases
  • Keywords
    computerised tomography; filtering theory; image classification; lung; medical diagnostic computing; Gabor filter-based classification; computer-aided diagnosis; diffuse lung opacities; thin-section computed tomography images; Biomedical imaging; Computed tomography; Design automation; Diseases; Educational institutions; Filtering theory; Gabor filters; Image sampling; Lungs; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-6400-7
  • Type

    conf

  • DOI
    10.1109/KES.2000.884162
  • Filename
    884162