Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm

For personalization of medicine, increasingly clinical and demographic data are integrated into nomograms for prognostic use, while molecular biomarkers are being developed to add independent diagnostic, prognostic, or management information. In a number of cases in surgical pathology, morphometric...

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Detalles Bibliográficos
Autores principales: Hipp, Jason, Smith, Steven Christopher, Cheng, Jerome, Tomlins, Scott Arthur, Monaco, James, Madabhushi, Anant, Kunju, Lakshmi Priya, Balis, Ulysses J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2012
Materias:
Other
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605573/
https://www.ncbi.nlm.nih.gov/pubmed/21988838
http://dx.doi.org/10.3233/ACP-2011-0040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605573/
https://www.ncbi.nlm.nih.gov/pubmed/21988838
http://dx.doi.org/10.3233/ACP-2011-0040

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