Improving breast cancer risk stratification using resonance-frequency electrical impedance spectroscopy through fusion of multiple classifiers

Annals of Biomedical Engineering

Volumn 39, Issue 3, 2011, Pages 931-945

  Lederman, Dror ^a   Zheng, Bin ^a   Wang, Xingwei ^a   Wang, Xiao Hui ^a   Gur, David ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Breast cancer risk stratification; Electrical impedance spectroscopy; Fusion of classifiers; Resonance frequency; Technology assessment

Indexed keywords

BREAST CANCER RISK; ELECTRICAL IMPEDANCE SPECTROSCOPY; FUSION OF CLASSIFIERS; RESONANCE FREQUENCY; TECHNOLOGY ASSESSMENT;

DISEASES; ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE MEASUREMENT; NATURAL FREQUENCIES; NEURAL NETWORKS; OBJECT RECOGNITION;

CLASSIFIERS;

DIAGNOSTIC AGENT;

ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; EVALUATION; FEMALE; HUMAN; IMPEDANCE; IMPEDANCE CARDIOGRAPHY; MASS SCREENING; METHODOLOGY; MIDDLE AGED; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; ALGORITHMS; BREAST NEOPLASMS; CARDIOGRAPHY, IMPEDANCE; DIAGNOSIS, COMPUTER-ASSISTED; DIELECTRIC SPECTROSCOPY; ELECTRIC IMPEDANCE; FEMALE; HUMANS; MASS SCREENING; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79951557426     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-010-0210-4     Document Type: Article

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