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Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning

BACKGROUND: Postoperative recurrence impedes the curability of early-stage hepatocellular carcinoma (E-HCC). We aimed to establish a novel recurrence-related pathological prognosticator with artificial intelligence, and investigate the relationship between pathological features and the local immunol...

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Detalles Bibliográficos
Autores principales:	Qu, Wei-Feng, Tian, Meng-Xin, Qiu, Jing-Tao, Guo, Yu-Cheng, Tao, Chen-Yang, Liu, Wei-Ren, Tang, Zheng, Qian, Kun, Wang, Zhi-Xun, Li, Xiao-Yu, Hu, Wei-An, Zhou, Jian, Fan, Jia, Zou, Hao, Hou, Ying-Yong, Shi, Ying-Hong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439660/ https://www.ncbi.nlm.nih.gov/pubmed/36059627 http://dx.doi.org/10.3389/fonc.2022.968202

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