Improving a Bayesian network s ability to predict the probability of malignancy of microcalcifications on mammography

Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter. Improving a Bayesian network s ability to predict the probability of malignancy of microcalcifications on mammography. In Heinz U. Lemke, Kiyonari Inamura, Kunio Doi, Michael W. Vannier, Allan G. Farman, Johan H. C. Reiber, editors, CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, Chicago, USA, June 23-26, 2004. Volume 1268 of International Congress Series, pages 1021-1026, Elsevier, 2004.

Authors

Elizabeth S. Burnside

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Daniel L. Rubin

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Ross D. Shachter

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