Bayesian networks: Computer-assisted diagnosis support in radiology

Academic Radiology

Volumn 12, Issue 4, 2005, Pages 422-430

  Burnside, Elizabeth S ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Artificial intelligence; Bayesian networks; Computers; Decision support

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BREAST CANCER; BREAST DISEASE; CALCULATION; COMPARATIVE STUDY; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; DIAGNOSTIC TEST; IMAGE ANALYSIS; INFORMATION PROCESSING; MAMMOGRAPHY; MEDICAL DECISION MAKING; MEDICAL INFORMATICS; MEDICAL INFORMATION; OUTCOMES RESEARCH; PHYSICIAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RADIODIAGNOSIS; RADIOGRAPHY; RADIOLOGIST; REVIEW; TECHNIQUE; THEORETICAL STUDY;

EID: 17044362334     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2004.11.030     Document Type: Article

References (15)

1. MEDLINE Fact Sheet. U.S. National Library of Medicine: 2002. Available at http://www.nlm.nih.gov/pubs/factsheets/medline.html. Accessed February 4, 2005.
2. D. Kahneman, P. Slovic, A. Tversky Judgment under uncertainty Heuristics and biases 2001 Cambridge University Press Cambridge
3. L. Helm Improbable inspiration 1996 Los Angeles Times Los Angeles
4. D. Heckerman, B. Nathwani Toward normative expert systems: Part II. Probability-based representations for efficient knowledge acquisition and interface Methods Inf Med 31 1992 106 116
5. D. Heckerman, E. Horvitz, B. Nathwani Toward normative expert systems: Part I. The Pathfinder project Methods Inf Med 31 1992 90 105
6. G. Lodwick A probabilistic approach to diagnosis of bone tumors Radiol Clin North Am 3 1965 487 497
7. C.E. Kahn, J. Laur, G. Carrera A Bayesian network for diagnosis of primary bone tumors J Digit Imaging 14 2001 56 57
8. C.E. Kahn Jr, L.M. Roberts, K. Wang, D. Jenks, P. Haddawy Preliminary investigation of a Bayesian network for mammographic diagnosis of breast cancer Proc Annu Symp Comput Appl Med Care 1995 208 212
9. E.S. Burnside, D.L. Rubin, R.D. Shachter, R.E. Sohlich, E.A. Sickles A probabilistic expert system that provides automated mammographic-histologic correlation Initial experience AJR Am J Roentgenol 182 2004 481 488
10. E.S. Burnside, D.L. Rubin, R.D. Shachter Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography Proc AMIA Symp 2004
11. Q.H. Liang, J.G. Harris The future of artificial neural networks and speech recognition Intell Syst Technol Appl 2003
12. W.W. Yuval, Hsieh, Hsieh An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks Weather Forecasting 18 2003 303 310
13. X. Li, A.G. Yeh Multitemporal SAR images for monitoring cultivation systems using case-based reasoning Remote Sensing Environ 90 2004 524 534
14. S.L. Wang, S.H. Hsu A Web-based CBR knowledge management system for PC troubleshooting Int J Adv Mfg Technol 23 2004 532 540
15. C.E. Kahn Jr Artificial intelligence in radiology Decision support systems Radiographics 14 1994 849 861