Comparative analysis of logistic regression and artificial neural network for computer-aided diagnosis of breast masses

Academic Radiology

Volumn 12, Issue 4, 2005, Pages 487-495

  Song, Jae H ^a   Venkatesh, Santosh S ^a   Conant, Emily A ^a   Arger, Peter H ^a   Sehgal, Chandra M ^a  

^a HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Artificial neural network; Breast cancer; Breast ultrasound; Cancer diagnosis; Logistic regression; Sonography

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BREAST CARCINOMA; CLINICAL FEATURE; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; TUMOR DIFFERENTIATION;

EID: 17044428072     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2004.12.016     Document Type: Article

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