Expert System Support Using A Bayesian Belief Network For The Classification Of Endometrial Hyperplasia

M.L. Morrison, W.G. McCluggage, G. Price, James Diamond, M.R.M. Sheeran, K.M. Mulholland, M.Y. Walsh, R. Montironi, P.H. Bartels, D. Thompson, Peter Hamilton

Research output: Contribution to journalArticle

17 Citations (Scopus)
Original languageEnglish
Pages (from-to)403-414
Number of pages12
JournalJournal of Pathology
Volume197(3)
Issue number3
DOIs
Publication statusPublished - May 2002

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

Impacts

Successful Commercial Exploitation of Digital Pathology for Cancer Education, Biomarker Discovery and Clinical Diagnosis

Peter Hamilton (Participant), James Diamond (Participant), Yinhai Wang (Participant), Ching-Wei Wang (Participant), Paul Kelly (Participant), Jacqueline James (Participant) & Dean Fennell (Participant)

Impact: Health Impact, Quality of Life Impact

Cite this

Morrison, M. L., McCluggage, W. G., Price, G., Diamond, J., Sheeran, M. R. M., Mulholland, K. M., Walsh, M. Y., Montironi, R., Bartels, P. H., Thompson, D., & Hamilton, P. (2002). Expert System Support Using A Bayesian Belief Network For The Classification Of Endometrial Hyperplasia. Journal of Pathology, 197(3)(3), 403-414. https://doi.org/10.1002/path.1135