Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images

BACKGROUND: Tumor programmed death-ligand 1 (PD-L1) status is useful in determining which patients may benefit from programmed death-1 (PD-1)/PD-L1 inhibitors. However, little is known about the association between PD-L1 status and tumor histopathological patterns. Using deep learning, we predicted...

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Detalles Bibliográficos
Autores principales: Sha, Lingdao, Osinski, Boleslaw L., Ho, Irvin Y., Tan, Timothy L., Willis, Caleb, Weiss, Hannah, Beaubier, Nike, Mahon, Brett M., Taxter, Tim J., Yip, Stephen S. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669997/
https://www.ncbi.nlm.nih.gov/pubmed/31523482
http://dx.doi.org/10.4103/jpi.jpi_24_19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669997/
https://www.ncbi.nlm.nih.gov/pubmed/31523482
http://dx.doi.org/10.4103/jpi.jpi_24_19

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