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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

The breast stromal microenvironment is a pivotal factor in breast cancer development, growth and metastases. Although pathologists often detect morphologic changes in stroma by light microscopy, visual classification of such changes is subjective and non-quantitative, limiting its diagnostic utility...

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Bibliografski detalji
Izdano u:Mod Pathol
Glavni autori: Bejnordi, Babak Ehteshami, Mullooly, Maeve, Pfeiffer, Ruth M., Fan, Shaoqi, Vacek, Pamela M., Weaver, Donald L., Herschorn, Sally, Brinton, Louise A., van Ginneken, Bram, Karssemeijer, Nico, Beck, Andrew H., Gierach, Gretchen L., van der Laak, Jeroen A.W.M., Sherman, Mark E.
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6752036/
https://ncbi.nlm.nih.gov/pubmed/29899550
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41379-018-0073-z
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