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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Detalles Bibliográficos
Autores principales: Zheng, Xueyi, Yao, Zhao, Huang, Yini, Yu, Yanyan, Wang, Yun, Liu, Yubo, Mao, Rushuang, Li, Fei, Xiao, Yang, Wang, Yuanyuan, Hu, Yixin, Yu, Jinhua, Zhou, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060275/
https://www.ncbi.nlm.nih.gov/pubmed/32144248
http://dx.doi.org/10.1038/s41467-020-15027-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060275/
https://www.ncbi.nlm.nih.gov/pubmed/32144248
http://dx.doi.org/10.1038/s41467-020-15027-z

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