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

Bingxia WuChuanli ChengYulong QiHongyu ZhouHao PengQian WanXin LiuHairong ZhengHuimao ZhangChao Zou
Published in: Magma (New York, N.Y.) (2022)
The present study demonstrates that the proposed automatic segmentation method using U-Net network is able to identify human sclavAT efficiently and accurately.
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