Improving Performance of Computer-aided Detection Scheme by Combining Results From Two Machine Learning Classifiers

Academic Radiology

Volumn 16, Issue 3, 2009, Pages 266-274

  Park, Sang Cheol ^a   Pu, Jiantao ^a   Zheng, Bin ^a  

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

Author keywords

Computer aided diagnosis; machine learning; mass detection; performance assessment

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER DIAGNOSIS; CANCER SCREENING; CANCER SIZE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; FALSE POSITIVE RESULT; FEMALE; HUMAN; IMAGE ANALYSIS; MACHINE LEARNING; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PRIORITY JOURNAL; RADIOLOGIST; RELIABILITY; SCORING SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; HUMANS; MALE; MAMMOGRAPHY; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 59449110510     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2008.08.012     Document Type: Article

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