Improved mammographic CAD performance using multi-view information: A Bayesian network framework

Physics in Medicine and Biology

Volumn 54, Issue 5, 2009, Pages 1131-1147

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

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AS-LINKS; BREAST ABNORMALITIES; BREAST CANCER DETECTIONS; BREAST CANCERS; CAD SYSTEMS; COMPUTER-AIDED DETECTIONS; COMPUTERIZED SYSTEMS; CONTEXT MODELING; INDEPENDENCE MODELS; MAMMOGRAPHIC; MULTI VIEWS; MULTI-VIEW MODELING; SCREENING MAMMOGRAMS;

BAYESIAN NETWORKS; DIAGNOSIS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; SPEECH ANALYSIS;

COMPUTER AIDED DESIGN;

ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER DIAGNOSIS; CANCER SCREENING; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PRIORITY JOURNAL;

BREAST; BREAST NEOPLASMS; EARLY DETECTION OF CANCER; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 63649101466     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/5/003     Document Type: Article

References (18)

1. Astley S, Mistry T, Boggis C and Hiller V 2002 Should we use humans or a machine to pre-screen mammograms? Proc. of 6th Int. Workshop in Digital Mammography, Bremen, Germany (Berlin: Springer)
2. Breast cancer and screening 2008 Technical Report World Health Organization http://www.emro.who.int/ncd/publications/breastcancerscreening.pdf
3. Dempster A, Laird N and Rubin D 1977 Maximum likelihood from incomplete data via the EM algorithm J. R. Stat. Soc., Ser. B 39 1-38
4. Diez F 1993 Parameter adjustment in Bayes networks: the generalized noisy or-gate Proc. of the 9th Conf. on UAI (San Francisco, CA: Morgan Kaufmann)
5. Good W, Zheng B, Chang Y, Wang X, Maitz G and Gur D 1999 Multi-image cad employing features derived from ipsilateral mammographic views Proc. SPIE, Med. Imaging 3661 474-85
6. Hanley J A and McNeil B J 1982 The meaning and use of the area under a receiver operating characteristic (ROC) curve Radiology 143 29-36
7. Heckerman D and Breese J S 1996 Causal independence for probability assessment and inference using Bayesian networks IEEE Trans. Syst. Man Cybern. A 26 826-31
8. Jensen F V and Nielsen T D 2007 Bayesian Networks and Decision Graphs (Berlin: Springer)
9. Kalman B L, Reinus W R and Kwasny S C 1997 Prescreening entire mammograms for masses with artificial neural networks: preliminary results Academic Radiol. 4 405-14
10. Lucas P J F 2005 Bayesian network modelling through qualitative pattern Artif. Intell. 163 233-63
11. Metz C E, Wang P L and Kronman H B 1984 A new approach for testing the significance of differences between ROC curves measured from correlated data Inform. Process. Med. Imaging (The Hague: Nijhoff)
12. Murphy K 2007 Bayesian Network Toolbox (BNT) http://www.cs.ubc.ca/ ∼murphyk/Software/BNT/bnt.html
13. Paquerault S, Petrick N, Chan H, Sahiner B and Helvie M A 2002 Improvement of computerized mass detection on mammograms: fusion of two-view information Med. Phys. 29 238-47
14. Qian W, Song D, Lei M, Sankar R and Eikman E 2007 Computer-aided mass detection based on ipsilateral multiview mammograms Academic Radiol. 14 530-8
15. Sarkar S and Boyer K L 1993 Integration, inference, and management of spatial information using Bayesian networks: perceptual organization IEEE Trans. Pattern Anal. Mach. Intell. 15 256-74
16. Sun X, Qian W, Song D and Clark R A 2001 Ipsilateral multi-view cad system for mass detection in digital mammography Proc. of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (IEEE Computer Society)
17. van Engeland S and Karssemeijer N 2007 Combining two mammographic projections in a computer aided mass detection method Med. Phys. 34 898-905
18. van Engeland S, Timp S and Karssemeijer N 2006 Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views Med. Phys. 33 3203-12