Relevance vector machine for automatic detection a of clustered microcalcifications

IEEE Transactions on Medical Imaging

Volumn 24, Issue 10, 2005, Pages 1278-1285

  Wei, Liyang ^a,b   Yang, Yongyi ^a,b   Nishikawa, Robert M ^a,c,d   Wernick, Miles N ^a,b   Edwards, Alexandra ^c  

^a IEEE   (United States)

^b Illinois Institute of Technology   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

^d R2 Technology Inc   (United States)

Author keywords

Breast cancer detection; Computer aided diagnosis; Mammography; Microcalcifications; Relevance vector machine

Indexed keywords

BREAST CANCER DETECTION; COMPUTER-AIDED DETECTION; MICROCALCIFICATIONS; RELEVANCE VECTOR MACHINE; SUPPORT VECTOR MACHINES (SVM);

COMPUTER AIDED ANALYSIS; DISEASES; LEARNING SYSTEMS; MAMMOGRAPHY; TUMORS; VECTORS;

CALCIFICATION (BIOCHEMISTRY);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST DISEASE; BREAST TUMOR; CALCINOSIS; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMALE; HUMAN; IMAGE QUALITY; INFORMATION RETRIEVAL; METHODOLOGY; PRECANCER; RADIOGRAPHY; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST DISEASES; BREAST NEOPLASMS; CALCINOSIS; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; PRECANCEROUS CONDITIONS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 26844433062     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.855435     Document Type: Article

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