Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning

Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal cancer. However, challenges related to interobserver variability persist. Such variability may be reduced by immunohistochemistry and computer-aided tumor bud selection. Development of computer algor...

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Detalles Bibliográficos
Autores principales: Bokhorst, J. M., Blank, A., Lugli, A., Zlobec, I., Dawson, H., Vieth, M., Rijstenberg, L. L., Brockmoeller, S., Urbanowicz, M., Flejou, J. F., Kirsch, R., Ciompi, F., van der Laak, J. A. W. M., Nagtegaal, I. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190566/
https://www.ncbi.nlm.nih.gov/pubmed/31844269
http://dx.doi.org/10.1038/s41379-019-0434-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190566/
https://www.ncbi.nlm.nih.gov/pubmed/31844269
http://dx.doi.org/10.1038/s41379-019-0434-2

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