Computed Tomography Image Features under Convolutional Neural Network Algorithm in Analysis of Inflammatory Factor Level and Prognosis of Patients with Hepatitis B Virus-Associated Acute-on-Chronic Liver Failure

This study aimed to explore the application value of three-dimensional (3D) convolutional neural networks (3D-CNN)-based computed tomography (CT) image intelligent segmentation model in the identification of lesions of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-AC...

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Detalles Bibliográficos
Autores principales: Xie, Zhibing, Ding, Li, Li, Yongzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592768/
https://www.ncbi.nlm.nih.gov/pubmed/34790343
http://dx.doi.org/10.1155/2021/2110612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592768/
https://www.ncbi.nlm.nih.gov/pubmed/34790343
http://dx.doi.org/10.1155/2021/2110612

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