Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. AIM: To predict early recurrence (ER) and overall survival (OS) in patients with HCC after radical resection using deep learning-based radiomics (DLR). METHODS: A total of 414 consecutive patients with HCC who un...

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Detalles Bibliográficos
Autores principales: Huang, Zhe, Shu, Zhu, Zhu, Rong-Hua, Xin, Jun-Yi, Wu, Ling-Ling, Wang, Han-Zhang, Chen, Jun, Zhang, Zhi-Wei, Luo, Hong-Chang, Li, Kai-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Observational Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782621/
https://www.ncbi.nlm.nih.gov/pubmed/36568943
http://dx.doi.org/10.4251/wjgo.v14.i12.2380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782621/
https://www.ncbi.nlm.nih.gov/pubmed/36568943
http://dx.doi.org/10.4251/wjgo.v14.i12.2380

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