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Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens
In this pilot study, we introduce a machine learning framework to identify relationships between cancer tissue morphology and hormone receptor pathway activation in breast cancer pathology hematoxylin and eosin (H&E)-stained samples. As a proof-of-concept, we focus on predicting clinical estroge...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123433/ https://www.ncbi.nlm.nih.gov/pubmed/30211313 http://dx.doi.org/10.1038/s41523-018-0084-4 |