no code implementations • 3 Oct 2021 • Jinke Wang, Xiangyang Zhang, Peiqing Lv, Lubiao Zhou, Haiying Wang
In the Sliver07 evaluation, the proposed method achieved the best segmentation performance on all five standard metrics.
no code implementations • 11 Mar 2021 • Jinke Wang, Peiqing Lv, Haiying Wang, Changfa Shi
Background and objective: In this paper, a modified U-Net based framework is presented, which leverages techniques from Squeeze-and-Excitation (SE) block, Atrous Spatial Pyramid Pooling (ASPP) and residual learning for accurate and robust liver CT segmentation, and the effectiveness of the proposed method was tested on two public datasets LiTS17 and SLiver07.