Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep learning can predict genetic alterations from pathology slides, but it is unclear how well these predictions generalize to external datasets. We performed a systematic study on Deep-Learning-based prediction of ge...

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Detalles Bibliográficos
Autores principales: Saldanha, Oliver Lester, Loeffler, Chiara M. L., Niehues, Jan Moritz, van Treeck, Marko, Seraphin, Tobias P., Hewitt, Katherine Jane, Cifci, Didem, Veldhuizen, Gregory Patrick, Ramesh, Siddhi, Pearson, Alexander T., Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050159/
https://www.ncbi.nlm.nih.gov/pubmed/36977919
http://dx.doi.org/10.1038/s41698-023-00365-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050159/
https://www.ncbi.nlm.nih.gov/pubmed/36977919
http://dx.doi.org/10.1038/s41698-023-00365-0

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