• DocumentCode
    3070322
  • Title

    Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform

  • Author

    Wen-Li Lee ; Yung-Chang Chen ; Kao-Sheng Hsieh

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    2
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    1
  • Abstract
    This paper proposes a new fractal feature vector based on M-band wavelet transform for classification of ultrasonic liver images-normal liver, cirrhosis, and hepatoma. Classifications for liver images have revealed that the fractal feature vector is trustworthy. A hierarchical classifier produces 97.27% correct classification for the distinction of normal and abnormal liver image and 93.6% correct classification for the distinction of cirrhosis and hepatoma liver image.
  • Keywords
    biomedical ultrasonics; image classification; liver; medical image processing; M-band wavelet transform; US liver tissues classification; cirrhosis; fractal feature vector; hepatoma; hierarchical classifier; liver images; Acoustic imaging; Biological tissues; Fractals; Geometry; Humans; Liver; Multiresolution analysis; Surface treatment; Ultrasonic imaging; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW, Australia
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.920991
  • Filename
    920991
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3070322