Peiqing Lv

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 et al. · Computer Methods and Programs in Biomedicine · 2021 · 154 citations

Computed Tomography, Image Analysis, Engineering +13

2.5D lightweight RIU-Net for automatic liver and tumor segmentation from CT

Peiqing Lv, Jinke Wang, Haiying Wang · Biomedical Signal Processing and Control · 2022 · 57 citations

Image Analysis, Hepatology, Medical Imaging +15

Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT

Jinke Wang, Xiangyang Zhang, Peiqing Lv et al. · Journal of Digital Imaging · 2022 · 20 citations · Full text

Attention-based Residual U-net, Medical Image Segmentation, Image Analysis +13

EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT

Jinke Wang, Xiangyang Zhang, Peiqing Lv et al. · arXiv (Cornell University) · 2021 · 17 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +25

Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT

Peiqing Lv, Jinke Wang, Xiangyang Zhang et al. · Scientific Reports · 2022 · 15 citations · Full text