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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

The development of decision support systems for pathology and their deployment in clinical practice have been hindered by the need for large manually annotated datasets. To overcome this problem, we present a multiple instance learning-based deep learning system that uses only the reported diagnoses...

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Detalhes bibliográficos
Publicado no:Nat Med
Main Authors: Campanella, Gabriele, Hanna, Matthew G., Geneslaw, Luke, Miraflor, Allen, Silva, Vitor Werneck Krauss, Busam, Klaus J., Brogi, Edi, Reuter, Victor E., Klimstra, David S., Fuchs, Thomas J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7418463/
https://ncbi.nlm.nih.gov/pubmed/31308507
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41591-019-0508-1
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