17 citations · 17 across the 1 of their papers we have counts for
2 papers
eess.IV2021★ 17 cited
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
Jinke Wang, Xiangyang Zhang, Peiqing Lv +2
Purpose: This paper proposes a new network framework called EAR-U-Net, which leverages EfficientNetB4, attention gate, and residual learning techniques to achieve automatic and acc…
eess.IV2021
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography
Jinke Wang, Peiqing Lv, Haiying Wang +1
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 Po…