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Prediction of clinicopathological features, multi-omics events and prognosis based on digital pathology and deep learning in HR(+)/HER2(−) breast cancer
BACKGROUND: Breast cancer has the highest incidence and mortality rates among women worldwide. Hormone receptor (HR)(+)/human epidermal growth factor receptor 2 (HER2)(−) breast cancer is the most common molecular subtype, accounting for 50–79% of breast cancers. Deep learning has been widely used i...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267923/ https://www.ncbi.nlm.nih.gov/pubmed/37324098 http://dx.doi.org/10.21037/jtd-23-445 |