On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks

Artificial Intelligence in Medicine

Volumn 57, Issue 1, 2013, Pages 73-86

  Velikova, Marina ^a   Lucas, Peter J F ^a,b   Samulski, Maurice ^c   Karssemeijer, Nico ^d  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b LEIDEN UNIVERSITY   (Netherlands)

^c Datec Norge AS   (Norway)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Bayesian networks; Computer aided detection; Data discretisation; Mammography; Medical image interpretation; Structure learning

Indexed keywords

CLASSIFICATION PERFORMANCE; COMPUTER-AIDED DETECTION; DATA DISCRETISATION; GAUSSIAN PROBABILITY DISTRIBUTIONS; MAMMOGRAPHIC EXAMINATION; MEDICAL IMAGES; MULTINOMIAL DISTRIBUTIONS; STRUCTURE-LEARNING;

DISEASES; GAUSSIAN DISTRIBUTION; IMAGE ANALYSIS; LEARNING SYSTEMS; MAMMOGRAPHY;

BAYESIAN NETWORKS;

ARTICLE; BAYESIAN LEARNING; COMPUTER AIDED DESIGN; IMAGE ANALYSIS; KNOWLEDGE; MACHINE LEARNING; MAMMOGRAPHY; PRIORITY JOURNAL; SCREENING;

BAYES THEOREM; BREAST NEOPLASMS; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; KNOWLEDGE BASES; MAMMOGRAPHY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROGNOSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84875259371     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2012.12.004     Document Type: Article

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