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

Internet

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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