Classification of mammographic masses using support vector machines and Bayesian networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6514, Issue PART 1, 2007, Pages

  Samulski, Maurice ^a   Karssemeijer, Nico ^a   Lucas, Peter ^b   Groot, Perry ^b  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Diagnostic task: diagnosis; Methods: classification and classifier design; Modalities: mammography; Pre processing

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DATA STRUCTURES; DIAGNOSIS; IMAGE PROCESSING; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

DIGITIZED MAMMOGRAMS; IMAGE FEATURES; MAMMOGRAPHIC MASSES; RECEIVER OPERATING CHARACTERISTICS (ROC) ANALYSIS;

MAMMOGRAPHY;

EID: 35248866593     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.709679     Document Type: Conference Paper

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