Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning

HER2-positive breast cancer is a highly heterogeneous tumor, and about 30% of patients still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting individual prognosis is of great significance for the further development of precise therapy. With the continuous developm...

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Detalles Bibliográficos
Autores principales: Yang, Jialiang, Ju, Jie, Guo, Lei, Ji, Binbin, Shi, Shufang, Yang, Zixuan, Gao, Songlin, Yuan, Xu, Tian, Geng, Liang, Yuebin, Yuan, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733169/
https://www.ncbi.nlm.nih.gov/pubmed/35035786
http://dx.doi.org/10.1016/j.csbj.2021.12.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733169/
https://www.ncbi.nlm.nih.gov/pubmed/35035786
http://dx.doi.org/10.1016/j.csbj.2021.12.028

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