Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD-Reference-Cited by-同舟云学术

Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD

Published:2023-04-01 Issue:1 Volume:307 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Jeon Sun Kyung¹^ORCID,Lee Jeong Min¹^ORCID,Joo Ijin¹^ORCID,Yoon Jeong Hee¹^ORCID,Lee Gunwoo¹

Affiliation:

1. From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.).

Funder

Samsung Medison

Seoul National University Hospital research fund

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.221510

Reference28 articles.

1. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes

2. Global epidemiology of NAFLD-related HCC: trends, predictions, risk factors and prevention