Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model

Medical Physics

Volumn 43, Issue 1, 2016, Pages 159-170

  Wang, Juan ^a   Nishikawa, Robert M ^b   Yang, Yongyi ^a  

^a Illinois Institute of Technology   (United States)

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

Author keywords

clustered microcalcifications (MCs); computer aided detection (CADe); false positives; mammography

Indexed keywords

ADAPTIVE BOOSTING; CALCIFICATION (BIOCHEMISTRY); CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE ENHANCEMENT; LOCATION; SUPPORT VECTOR MACHINES; TISSUE; X RAY SCREENS;

CLUSTERED MICROCALCIFICATION; CLUSTERED MICROCALCIFICATIONS; COMPUTER AIDED DETECTION; COMPUTER-AIDED DETECTION; FALSE POSITIVE; INPUT FEATURES; LINEAR STRUCTURES; MAMMOGRAM IMAGES; MICRO-CALCIFICATION[MC]; SUPPORT VECTORS MACHINE;

MAMMOGRAPHY;

ARTICLE; BREAST BIOPSY; BREAST CALCIFICATION; CLASSIFIER; CLUSTERED MICROCALCIFICATION; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FALSE POSITIVE RESULT; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; KERNEL METHOD; MACHINE LEARNING; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MAMMOGRAPHY SYSTEM; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; CALCINOSIS; DIAGNOSTIC IMAGING; PROCEDURES; SENSITIVITY AND SPECIFICITY;

CALCINOSIS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84952320863     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4938059     Document Type: Article

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