An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension

The hepatic venous pressure gradient (HVPG) is the gold standard for cirrhotic portal hypertension (PHT), but it is invasive and specialized. Alternative non-invasive techniques are needed to assess the hepatic venous pressure gradient (HVPG). Here, we develop an auto-machine-learning CT radiomics H...

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Detalles Bibliográficos
Autores principales: Yu, Qian, Huang, Yifei, Li, Xiaoguo, Pavlides, Michael, Liu, Dengxiang, Luo, Hongwu, Ding, Huiguo, An, Weimin, Liu, Fuquan, Zuo, Changzeng, Lu, Chunqiang, Tang, Tianyu, Wang, Yuancheng, Huang, Shan, Liu, Chuan, Zheng, Tianlei, Kang, Ning, Liu, Changchun, Wang, Jitao, Akçalar, Seray, Çelebioğlu, Emrecan, Üstüner, Evren, Bilgiç, Sadık, Fang, Qu, Fu, Chi-Cheng, Zhang, Ruiping, Wang, Chengyan, Wei, Jingwei, Tian, Jie, Örmeci, Necati, Ellik, Zeynep, Asiller, Özgün Ömer, Ju, Shenghong, Qi, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040173/
https://www.ncbi.nlm.nih.gov/pubmed/35492878
http://dx.doi.org/10.1016/j.xcrm.2022.100563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040173/
https://www.ncbi.nlm.nih.gov/pubmed/35492878
http://dx.doi.org/10.1016/j.xcrm.2022.100563

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