The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process

Medical Physics

Volumn 34, Issue 11, 2007, Pages 4164-4172

  Elter, M ^a   Schulz Wendtland, R ^b   Wittenberg, T ^a  

^a FRAUNHOFER INSTITUTE FOR INTEGRATED CIRCUITS IIS   (Germany)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Computer aided diagnosis; Knowledge based; Mammography; Receiver operating characteristic (ROC)

Indexed keywords

BIOPSY; CASE BASED REASONING; DECISION TREES; DISEASES; KNOWLEDGE BASED SYSTEMS; MAMMOGRAPHY; SAMPLING; TREES (MATHEMATICS); X RAY SCREENS;

BASED ON CASE-BASED REASONING; COMPUTER AIDED DIAGNOSIS(CAD); KNOWLEDGE BASED; POSITIVE PREDICTIVE VALUES; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; RECEIVER OPERATING CHARACTERISTICS; STATE-OF-THE-ART APPROACH; STATISTICAL SIGNIFICANCE TEST;

COMPUTER AIDED DIAGNOSIS;

ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOOTSTRAPPING; BREAST BIOPSY; BREAST LESION; CANCER SCREENING; CLINICAL PRACTICE; COMPUTER AIDED DESIGN; CONTROLLED STUDY; DECISION MAKING; DECISION TREE; FOLLOW UP; HUMAN; MAMMOGRAPHY; PHYSICIAN; PREDICTOR VARIABLE; PRIORITY JOURNAL; RADIODIAGNOSIS; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL SIGNIFICANCE;

EID: 35648972713     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2786864     Document Type: Article

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