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
Link To Document