Predictive machine learning model for microvascular invasion identification in hepatocellular carcinoma based on the LI-RADS system

PURPOSES: This study aimed to establish a predictive model of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) by contrast-enhanced computed tomography (CT), which relied on a combination of machine learning approach and imaging features covering Liver Imaging and Reporting and Data Sy...

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Detalles Bibliográficos
Autores principales: Yang, Xue, Shao, Guoqing, Liu, Jiaojiao, Liu, Bin, Cai, Chao, Zeng, Daobing, Li, Hongjun
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/PMC9686848/
https://www.ncbi.nlm.nih.gov/pubmed/36439486
http://dx.doi.org/10.3389/fonc.2022.1021570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686848/
https://www.ncbi.nlm.nih.gov/pubmed/36439486
http://dx.doi.org/10.3389/fonc.2022.1021570

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