Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study

BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We therefore aimed to develop and validate deep learning-based classifiers to detect microsatellite instability and EBV statu...

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Detalles Bibliográficos
Autores principales: Muti, Hannah Sophie, Heij, Lara Rosaline, Keller, Gisela, Kohlruss, Meike, Langer, Rupert, Dislich, Bastian, Cheong, Jae-Ho, Kim, Young-Woo, Kim, Hyunki, Kook, Myeong-Cherl, Cunningham, David, Allum, William H, Langley, Ruth E, Nankivell, Matthew G, Quirke, Philip, Hayden, Jeremy D, West, Nicholas P, Irvine, Andrew J, Yoshikawa, Takaki, Oshima, Takashi, Huss, Ralf, Grosser, Bianca, Roviello, Franco, d'Ignazio, Alessia, Quaas, Alexander, Alakus, Hakan, Tan, Xiuxiang, Pearson, Alexander T, Luedde, Tom, Ebert, Matthias P, Jäger, Dirk, Trautwein, Christian, Gaisa, Nadine Therese, Grabsch, Heike I, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460994/
https://www.ncbi.nlm.nih.gov/pubmed/34417147
http://dx.doi.org/10.1016/S2589-7500(21)00133-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460994/
https://www.ncbi.nlm.nih.gov/pubmed/34417147
http://dx.doi.org/10.1016/S2589-7500(21)00133-3

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