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pubmed-article:9123674pubmed:dateCreated1997-4-22lld:pubmed
pubmed-article:9123674pubmed:abstractTextTissue classification by examining sets of ultrasound parameters is an elusive goal. We report analysis of measurements of ultrasound speed, attenuation and backscatter in the range 3 to 8 MHz in breast tissues at 37 C. Statistical discriminant analysis and neural net analysis were employed. Data were acquired from 24 biopsy and 7 mastectomy specimens. Best separation of the classes normal, benign, and malignant occurred in the 18 cases where two tissue classes were present in the same specimen and parameters were corrected for within-patient mean; then 85-90% of cases in test sets were correctly classified. Most errors comprised misclassified benign cases. The neural net was comparable to discriminant analysis and slightly superior in separating normal and malignant classes.lld:pubmed
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pubmed-article:9123674pubmed:statusMEDLINElld:pubmed
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pubmed-article:9123674pubmed:authorpubmed-author:HillJ RJRlld:pubmed
pubmed-article:9123674pubmed:authorpubmed-author:EdmondsP DPDlld:pubmed
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pubmed-article:9123674pubmed:authorpubmed-author:JensenJ FJFlld:pubmed
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pubmed-article:9123674pubmed:authorpubmed-author:ValdesA DADlld:pubmed
pubmed-article:9123674pubmed:authorpubmed-author:JeffreyS SSSlld:pubmed
pubmed-article:9123674pubmed:authorpubmed-author:ShifrinL ALAlld:pubmed
pubmed-article:9123674pubmed:authorpubmed-author:EssermanL JLJlld:pubmed
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pubmed-article:9123674pubmed:volume18lld:pubmed
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pubmed-article:9123674pubmed:pagination215-30lld:pubmed
pubmed-article:9123674pubmed:dateRevised2007-11-14lld:pubmed
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pubmed-article:9123674pubmed:year1996lld:pubmed
pubmed-article:9123674pubmed:articleTitleUltrasound tissue characterization of breast biopsy specimens: expanded study.lld:pubmed
pubmed-article:9123674pubmed:affiliationBioengineering Research Laboratory, SRI International, Manlo Park, California 94025, USA.lld:pubmed
pubmed-article:9123674pubmed:publicationTypeJournal Articlelld:pubmed
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pubmed-article:9123674pubmed:publicationTypeResearch Support, U.S. Gov't, P.H.S.lld:pubmed