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 ZouPublished 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.