Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

BACKGROUND: Immune cell infiltration in tumor is an emerging prognostic biomarker in breast cancer. The gold standard for quantification of immune cells in tissue sections is visual assessment through a microscope, which is subjective and semi-quantitative. In this study, we propose and evaluate an...

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Detalles Bibliográficos
Autores principales: Turkki, Riku, Linder, Nina, Kovanen, Panu E., Pellinen, Teijo, Lundin, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5027738/
https://www.ncbi.nlm.nih.gov/pubmed/27688929
http://dx.doi.org/10.4103/2153-3539.189703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5027738/
https://www.ncbi.nlm.nih.gov/pubmed/27688929
http://dx.doi.org/10.4103/2153-3539.189703

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