• DocumentCode
    2372366
  • Title

    Statistical classification of ultrasonic image texture

  • Author

    Daponte, John S. ; Gelber, Joel ; Fox, Martin D.

  • Author_Institution
    Southern Connecticut State Univ., New Haven, CT, USA
  • fYear
    1989
  • fDate
    27-28 Mar 1989
  • Firstpage
    121
  • Lastpage
    122
  • Abstract
    Qualitative analysis is important because it is not subjective and does not have the potential for variation from one observer to another. A description is given of how statistical hypothesis testing can be used to select the quantitative descriptors best capable of distinguishing between normal and abnormal liver texture. Information is also presented on how both parametric and nonparametric discriminant analysis can be applied to determine how well the quantitative analysis compares with the qualitative diagnosis supplied for each case studied
  • Keywords
    acoustic imaging; biomedical ultrasonics; patient diagnosis; statistical analysis; abnormal liver texture; nonparametric discriminant analysis; parametric discriminant analysis; patient diagnosis; qualitative diagnosis; statistical hypothesis testing; ultrasonic image texture; ultrasonic imaging; Biopsy; Entropy; Histograms; Image analysis; Image texture; Liver diseases; Microcomputers; Needles; Probability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBC.1989.36730
  • Filename
    36730