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Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: a methodological
Rodolfo Montironi1, Liang Cheng, Antonio Lopez-Beltran
1Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy. r.montironi@univpm.it
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.
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