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

Cancer. 2009 Jul 1;115(13 Suppl):3068-77. doi: 10.1002/cncr.24345.

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. Cancer 2009;115(13 suppl):3068-77. (c) 2009 American Cancer Society.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adenocarcinoma / diagnosis*
  • Adenocarcinoma / pathology*
  • Decision Support Systems, Clinical*
  • Humans
  • Male
  • Prognosis
  • Prostatic Neoplasms / diagnosis*
  • Prostatic Neoplasms / pathology*