Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: A methodological approach

Rodolfo Montironi, Liang Cheng, Antonio Lopez-Beltran, Roberta Mazzucchelli, Marina Scarpelli, Peter H. Bartels

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Recent advances in computer and information technologies have allowed the integration of both numeric and non-numeric data, that is, descriptive, linguistic terms. This has led at 1 end of the spectrum of technology development to machine vision based on image understanding and, at the other, to decision support systems. This has had a significant impact on our capability to derive diagnostic and prognostic information from histopathological material with prostate neoplasms.

Original languageEnglish (US)
Pages (from-to)3068-3077
Number of pages10
JournalCancer
Volume115
Issue numberSUPPL 13
DOIs
StatePublished - Jul 1 2009

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Keywords

  • Automated reasoning systems
  • Case-based reasoning systems
  • Diagnostic decision support systems
  • Inference networks
  • Prostate cancer

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Montironi, R., Cheng, L., Lopez-Beltran, A., Mazzucchelli, R., Scarpelli, M., & Bartels, P. H. (2009). Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: A methodological approach. Cancer, 115(SUPPL 13), 3068-3077. https://doi.org/10.1002/cncr.24345