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 :
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