Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Abstract 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 predict...
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| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2023-03-01
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| Schriftenreihe: | npj Precision Oncology |
| Online-Zugang: | https://doi.org/10.1038/s41698-023-00365-0 |
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