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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Here, we report deep learning radiomics (DLR) of conv...
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| Publicado en: | Nat Commun |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7060275/ https://ncbi.nlm.nih.gov/pubmed/32144248 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15027-z |
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