Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: a methodological approach.
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.
Montironi
Rodolfo
R
Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy. r.montironi@univpm.it
Cheng
Liang
L
Lopez-Beltran
Antonio
A
Mazzucchelli
Roberta
R
Scarpelli
Marina
M
Bartels
Peter H
PH
D000230:Adenocarcinoma / Q000175:diagnosis* / Q000473:pathology*; D020000:Decision Support Systems, Clinical; D006801:Humans; D008297:Male; D011379:Prognosis; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000473:pathology*