Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis-Reference-Cited by-同舟云学术

Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis

Published:2023-10-01 Issue:1 Volume:309 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Vianna Pedro^ORCID,Calce Sara-Ivana^ORCID,Boustros Pamela^ORCID,Larocque-Rigney Cassandra^ORCID,Patry-Beaudoin Laurent^ORCID,Luo Yi Hui^ORCID,Aslan Emre^ORCID,Marinos John^ORCID,Alamri Talal M.^ORCID,Vu Kim-Nhien^ORCID,Murphy-Lavallée Jessica^ORCID,Billiard Jean-Sébastien^ORCID,Montagnon Emmanuel^ORCID,Li Hongliang^ORCID,Kadoury Samuel^ORCID,Nguyen Bich N.^ORCID,Gauthier Shanel^ORCID,Therien Benjamin^ORCID,Rish Irina^ORCID,Belilovsky Eugene^ORCID,Wolf Guy^ORCID,Chassé Michaël^ORCID,Cloutier Guy^ORCID,Tang An^ORCID

Funder

Fonds de Recherche du Québec – Santé

Fondation de l’Association des Radiologistes du Québec

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.230659

Reference33 articles.

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2. Mechanisms and disease consequences of nonalcoholic fatty liver disease

3. Modeling NAFLD disease burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the period 2016–2030

4. MRI Steatosis Grading: Development and Initial Validation of a Color Mapping System

5. Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis

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