Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

BACKGROUND: The accuracy of estimating microvascular invasion (MVI) preoperatively in hepatocellular carcinoma (HCC) by clinical observers is low. Most recent studies constructed MVI predictive models utilizing radiological and/or radiomics features extracted from computed tomography (CT) images. Th...

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Detalles Bibliográficos
Autores principales: Liu, Shu-Cheng, Lai, Jesyin, Huang, Jhao-Yu, Cho, Chia-Fong, Lee, Pei Hua, Lu, Min-Hsuan, Yeh, Chun-Chieh, Yu, Jiaxin, Lin, Wei-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501676/
https://www.ncbi.nlm.nih.gov/pubmed/34627393
http://dx.doi.org/10.1186/s40644-021-00425-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501676/
https://www.ncbi.nlm.nih.gov/pubmed/34627393
http://dx.doi.org/10.1186/s40644-021-00425-3

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