Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging

Objective To achieve efficient segmentation of human supraclavicular adipose tissue (sclavAT) using high-resolution T2-weighted magnetic resonance images. Methods High-resolution 1.0 mm isotropic 3D T2-weighted images covering human supraclavicular area were acquired in transverse or coronary plane...

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Vydané v:	Magma (New York, N.Y.) Ročník 36; číslo 4; s. 641 - 649
Hlavní autori:	Wu, Bingxia, Cheng, Chuanli, Qi, Yulong, Zhou, Hongyu, Peng, Hao, Wan, Qian, Liu, Xin, Zheng, Hairong, Zhang, Huimao, Zou, Chao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.08.2023
Predmet:	Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Health Informatics Imaging Medicine Medicine & Public Health Radiology Research Article Solid State Physics Deep learning Brown adipose tissue Magnetic resonance imaging Fat fraction Supraclavicular adipose tissue
ISSN:	1352-8661, 1352-8661
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