Deep Learning for Computed Tomography Assessment of Hepatic Fibrosis and Cirrhosis: A Systematic Review-Reference-Cited by-同舟云学术

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Deep Learning for Computed Tomography Assessment of Hepatic Fibrosis and Cirrhosis: A Systematic Review

Published:2023-12 Issue:4 Volume:1 Page:574-585
ISSN:2949-7612
Container-title:Mayo Clinic Proceedings: Digital Health
language:en
Short-container-title:Mayo Clinic Proceedings: Digital Health

Author:

Kutaiba Numan^ORCID,Dahan Ariel,Goodwin Mark,Testro Adam,Egan Gary,Lim Ruth

Publisher

Elsevier BV

Reference61 articles.

1. Global epidemiology of chronic liver disease;Cheemerla;Clin Liver Dis,2021

2. Changes in the global burden of chronic liver diseases from 2012 to 2017: the growing impact of NAFLD;Paik;Hepatology,2020

3. Global epidemiology of cirrhosis—aetiology, trends and predictions;Huang;Nat Rev Gastroenterol Hepatol,2023

4. Chronic liver diseases must be reduced worldwide: it is time to act;Vento;Lancet Glob Health,2022

5. High prevalence of liver fibrosis among European adults with unknown liver disease: a population-based study;Caballería;Clin Gastroenterol Hepatol,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computed Tomography–Derived Extracellular Volume Fraction and Splenic Size for Liver Fibrosis Staging;Journal of Computer Assisted Tomography;2024-06-03

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