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Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning
BACKGROUND: Identifying genetic mutations in cancer patients have been increasingly important because distinctive mutational patterns can be very informative to determine the optimal therapeutic strategy. Recent studies have shown that deep learning-based molecular cancer subtyping can be performed...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Baishideng Publishing Group Inc
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596644/ https://www.ncbi.nlm.nih.gov/pubmed/33177794 http://dx.doi.org/10.3748/wjg.v26.i40.6207 |