Deep Learning Algorithm-Based Magnetic Resonance Imaging Feature-Guided Serum Bile Acid Profile and Perinatal Outcomes in Intrahepatic Cholestasis of Pregnancy

This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief network model in evaluating serum bile acid profile and adverse perinatal outcomes of intrahepatic cholestasis of pregnancy (ICP) patients. Fifty ICP pregnant women diagnosed in hospital were selected as t...

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Detalles Bibliográficos
Autores principales: Liu, Hongxue, Wang, Haidong, Zhang, Muling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192280/
https://www.ncbi.nlm.nih.gov/pubmed/35707042
http://dx.doi.org/10.1155/2022/8081673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192280/
https://www.ncbi.nlm.nih.gov/pubmed/35707042
http://dx.doi.org/10.1155/2022/8081673

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