Assessment of liver fibrosis in chronic hepatitis B via multimodal data-Reference-Cited by-同舟云学术

Assessment of liver fibrosis in chronic hepatitis B via multimodal data

Published:2017-08 Issue: Volume:253 Page:169-176
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lei Baiying,Liu Yingxia,Dong Changfeng,Chen Xin,Zhang Xinyu,Diao Xianfen,Yang Guilin,Liu Jing,Yao Simin,Li Hanying,Yuan Jing,Li Shaxi,Le Xiaohua,Lin Yimin,Zeng Wen

Funder

National Science & Technology Pillar Program

National Natural Science Foundation of China

Shenzhen Key Basic Research Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

1. Global challenges in liver disease;Williams;Hepatology,2006

2. Chronic hepatitis B;Lok;Hepatology,2007

3. Noninvasive assessment of liver fibrosis;Martinez;Hepatology,2011

4. Noninvasive methods to assess liver disease in patients with hepatitis B or C;Castera;Gastroenterology,2012

5. Technology insight: noninvasive assessment of liver fibrosis by biochemical scores and elastography;Pinzani;Nat. Clin. Pract. Gastroenterol. Hepatol.,2008

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