Prediction of early recurrence of HCC after hepatectomy by contrast-enhanced ultrasound-based deep learning radiomics

OBJECTIVE: This study aims to evaluate the predictive model based on deep learning (DL) and radiomics features from contrast-enhanced ultrasound (CEUS) to predict early recurrence (ER) in patients with hepatocellular carcinoma (HCC). METHODS: One hundred seventy-two patients with HCC who underwent h...

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Detalles Bibliográficos
Autores principales: Zhang, Hui, Huo, Fanding
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/PMC9554932/
https://www.ncbi.nlm.nih.gov/pubmed/36248986
http://dx.doi.org/10.3389/fonc.2022.930458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554932/
https://www.ncbi.nlm.nih.gov/pubmed/36248986
http://dx.doi.org/10.3389/fonc.2022.930458

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