Statistical classification of ultrasonic image texture
Resource type
Authors/contributors
- DaPonte, John S. (Author)
- Gelber, Joel (Author)
- Fox, Martin D. (Author)
- Buus Soren (Editor)
Title
Statistical classification of ultrasonic image texture
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.
Proceedings Title
Bioeng Proc Northeast Conf
Publisher
Publ by IEEE
Place
Piscataway, NJ, United States
Date
1989
Pages
121-122
Citation Key
daponteStatisticalClassificationUltrasonic1989
Archive
Scopus
Language
English
Extra
1 citations (Crossref) [2023-10-31]
Journal Abbreviation: Bioeng Proc Northeast Conf
Citation
DaPonte, J. S., Gelber, J., & Fox, M. D. (1989). Statistical classification of ultrasonic image texture. In Buus Soren (Ed.), Bioeng Proc Northeast Conf (pp. 121–122). Publ by IEEE. Scopus. https://doi.org/10.1109/nebc.1989.36730
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