Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms : A methodological approach
✍ Scribed by Rodolfo Montironi; Liang Cheng; Antonio Lopez-Beltran; Roberta Mazzucchelli; Marina Scarpelli; Peter H. Bartels
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 301 KB
- Volume
- 115
- Category
- Article
- ISSN
- 0008-543X
No coin nor oath required. For personal study only.
✦ Synopsis
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. © 2009 American Cancer Society.