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Automatic Tumor-Stroma Separation in Fluorescence TMAs Enables the Quantitative High-Throughput Analysis of Multiple Cancer Biomarkers

The upcoming quantification and automation in biomarker based histological tumor evaluation will require computational methods capable of automatically identifying tumor areas and differentiating them from the stroma. As no single generally applicable tumor biomarker is available, pathology routinel...

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Detalhes bibliográficos
Main Authors: Lahrmann, Bernd, Halama, Niels, Sinn, Hans-Peter, Schirmacher, Peter, Jaeger, Dirk, Grabe, Niels
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3229509/
https://ncbi.nlm.nih.gov/pubmed/22164226
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0028048
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