Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study

BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carcinoma (HCC) patients to stratify them effectively. METHODS: A deep learning model was developed on a total of 1118 patients from 4 independent cohorts. A nucleus map set (n = 120) was used to train U-...

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Detalles Bibliográficos
Autores principales: Liu, Zhikun, Liu, Yuanpeng, Zhang, Wenhui, Hong, Yuan, Meng, Jinwen, Wang, Jianguo, Zheng, Shusen, Xu, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174321/
https://www.ncbi.nlm.nih.gov/pubmed/35352293
http://dx.doi.org/10.1007/s12072-022-10321-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174321/
https://www.ncbi.nlm.nih.gov/pubmed/35352293
http://dx.doi.org/10.1007/s12072-022-10321-y

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