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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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