Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence-Reference-Cited by-同舟云学术

Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence

Published:2022-03-03 Issue:6 Volume:135 Page:631-633
ISSN:0366-6999
Container-title:Chinese Medical Journal
language:en
Short-container-title:

Author:

Lv Han,Li Mengyi,Wang Zhenchang,Yang Dawei,Xu Hui,Li Juan,Liu Yang,Cao Di,Liu Yawen,Wu Xinru,Jin He,Zhang Peng,Zhao Liqin,Bai Rixing,Yue Yunlong,Li Bin,Zhang Nengwei,Zou Mingzhu,Song Jinghai,Yu Weibin,Zhang Pin,Tang Weijun,Yao Qiyuan,Liu Liheng,Yang Hui,Yang Zhenghan,Zhang Zhongtao

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,General Medicine

Reference6 articles.

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3. Alterations in the liver fat fraction features examined by magnetic resonance imaging following bariatric surgery: a self-controlled observational study;Li;Obes Surg,2020

4. Automated segmentation of abdominal subcutaneous adipose tissue and visceral adipose tissue in obese adolescent in MRI;Hui;Magn Reson Imaging,2018

5. Automated CT and MRI liver segmentation and biometry using a generalized convolutional neural network;Wang;Radiol Artif Intell,2019

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