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

ConclusionThe present study demonstrates that the proposed automatic segmentation method using U-Net network is able to identify human sclavAT efficiently and accurately.

http://link.springer.com/10.1007/s10334-022-01056-w

Source: Magnetic Resonance Materials in Physics, Biology and Medicine - December 20, 2022 Category: Materials Science Source Type: research