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...

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Detalles Bibliográficos
Autores principales: Hu, Jia, Lv, Hong, Zhao, Shen, Lin, Cai-Jin, Su, Guan-Hua, Shao, Zhi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
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

Internet

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

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