title: Malignant and benign breast tissue classification performance using a scatterer structure preclassifier.
abstract: Benign and malignant breast tissue classification is examined for generalized-spectrum parameters computed from RF ultrasound data when a preclassification of subregions based on general scattering properties is performed. Results using a clinical database of 84 patients show statistically significant improvements (over 10% in receiver operation characteristic (ROC) areas) when only coherent scatterer subregions are used as compared to using all subregions within the region of interest.
authors.forename: Kevin D
authors.initials: KD
authors.lastname: Donohue
authors.forename: Lexun
authors.initials: L
authors.lastname: Huang
authors.forename: Georgia
authors.initials: G
authors.lastname: Georgiou
authors.forename: Fernand S
authors.initials: FS
authors.lastname: Cohen
authors.forename: Catherine W
authors.initials: CW
authors.lastname: Piccoli
authors.forename: Flemming
authors.initials: F
authors.lastname: Forsberg
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000145:classification* / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D011237:Predictive Value of Tests; D011786:Quality Control; D012372:ROC Curve; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D016217:Ultrasonography, Mammary / Q000379:methods*