Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images <i>via</i> scalable deep learning-Reference-Cited by-同舟云学术

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Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning

Published:2022-06-14 Issue:22 Volume:28 Page:2494-2508
ISSN:1007-9327
Container-title:World Journal of Gastroenterology
language:
Short-container-title:WJG

Author:

Li Bowen,Tai Dar-In,Yan Ke,Chen Yi-Cheng,Chen Cheng-Jen,Huang Shiu-Feng,Hsu Tse-Hwa,Yu Wan-Ting,Xiao Jing,Le Lu,Harrison Adam P

Publisher

Baishideng Publishing Group Inc.

Subject

Gastroenterology,General Medicine

Reference51 articles.

1. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention

2. Non-alcoholic fatty liver disease, obesity and the metabolic syndrome

3. Unexpected Rapid Increase in the Burden of NAFLD in China From 2008 to 2018: A Systematic Review and Meta‐Analysis

4. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: A meta-analysis

5. Non‐invasive tests for liver fibrosis in NAFLD: Creating pathways between primary healthcare and liver clinics

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