Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning-Reference-Cited by-同舟云学术

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Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning

Published:2019-12 Issue: Volume:64 Page:28-36
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Shen Ning,Li Xueyan,Zheng Shuang,Zhang Lei,Fu Yu,Liu Xiaoming,Li Mingyang,Li Jiasheng,Guo Shuxu,Zhang Huimao

Funder

National Health Commission of the People's Republic of China

Natural Science Foundation of Jilin Province

Science and Technology Development Plan of Jilin Province

Provincial and School Joint Construction Project of Jilin University

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference49 articles.

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3. Diet quality is inversely associated with obesity in Chinese adults with type 2 diabetes;Cheung;Nutr J,2018

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5. VLDL triglyceride kinetics in lean, overweight, and obese men and women;Mittendorfer;J Clin Endocrinol Metab,2016

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