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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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| Udgivet i: | J Pathol Inform |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Medknow Publications & Media Pvt Ltd
2016
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5027738/ https://ncbi.nlm.nih.gov/pubmed/27688929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.189703 |
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