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.
@inproceedings{BurnsideRS04,
title = {Improving a Bayesian network s ability to predict the probability of malignancy of microcalcifications on mammography},
author = {Elizabeth S. Burnside and Daniel L. Rubin and Ross D. Shachter},
year = {2004},
researchr = {https://researchr.org/publication/BurnsideRS04},
cites = {0},
citedby = {0},
pages = {1021-1026},
booktitle = {CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, Chicago, USA, June 23-26, 2004},
editor = {Heinz U. Lemke and Kiyonari Inamura and Kunio Doi and Michael W. Vannier and Allan G. Farman and Johan H. C. Reiber},
volume = {1268},
series = {International Congress Series},
publisher = {Elsevier},
isbn = {0-444-51731-6},
}