CT images-based 3D convolutional neural network to predict early recurrence of solitary hepatocellular carcinoma after radical hepatectomy

PURPOSE: The high rate of recurrence of hepatocellular carcinoma (HCC) after radical hepatectomy is an important factor that affects the long-term survival of patients. This study aimed to develop a computed tomography (CT) images-based 3-dimensional (3D) convolutional neural network (CNN) for the p...

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Detalles Bibliográficos
Autores principales: Cui, Hao, Wang, Kun-Yuan, Li, Wen-Yuan, Zhu, Hong-Bo, Xiao, Lu-Shan, Liu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Society of Radiology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885724/
https://www.ncbi.nlm.nih.gov/pubmed/36287132
http://dx.doi.org/10.5152/dir.2022.201097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885724/
https://www.ncbi.nlm.nih.gov/pubmed/36287132
http://dx.doi.org/10.5152/dir.2022.201097

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