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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Detalles Bibliográficos
Autores principales: Lahrmann, Bernd, Halama, Niels, Sinn, Hans-Peter, Schirmacher, Peter, Jaeger, Dirk, Grabe, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229509/
https://www.ncbi.nlm.nih.gov/pubmed/22164226
http://dx.doi.org/10.1371/journal.pone.0028048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229509/
https://www.ncbi.nlm.nih.gov/pubmed/22164226
http://dx.doi.org/10.1371/journal.pone.0028048

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