The following publications are possibly variants of this publication:
- AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT ImagesYujia Yuan, Deqiang Xiao, Shuo Yang, Zongyu Li, Haixiao Geng, Ying Gu, Jian Yang 0009. isbi 2023: 1-5 [doi]
- MDR-Net: Multiscale dense residual networks for liver image segmentationLijie Xie, Fubao Zhu, Ni Yao. iet-ipr, 17(8):2309-2320, 2023. [doi]
- Image Segmentation of Liver CT Based on Fully Convolutional NetworkXinyu Jin, Huimin Ye, Lanjuan Li, Qi Xia. iscid 2017: 210-213 [doi]
- Liver Tumor Segmentation of CT Image by Using Deep Fully Convolutional NetworkLingmin Jin, Rui Ma, Meng Zhao, Shenghua Teng, Zuoyong Li. ml4cs 2020: 170-179 [doi]
- Automatic Segmentation of Liver CT Image Based on Dense Pyramid NetworkHongli Xu, Binhua Wang, Wanguo Xue, Yao Zhang, Cheng Zhong, Yongliang Chen, Jianfeng Leng. miccai 2020: 10-16 [doi]
- A Lightweight 3D Segmentation Network for Abdominal Liver in CT ImageJunlin Zhao, Tianlin Zhang, Ling Gao, Wenbo Wan, Jian Wang. icaip 2022: 40-45 [doi]
- DASGC-Unet: An Attention Network for Accurate Segmentation of Liver CT ImagesXiaoqian Zhang, Yufeng Chen, Lei Pu, Youdong He, Ying Zhou, HuaiJiang Sun. npl, 55(9):12289-12308, December 2023. [doi]
- RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT imagesLinFeng Jiang, Jiajie Ou, Ruihua Liu, Yangyang Zou, Ting Xie, Hanguang Xiao, Ting Bai. cbm, 158:106838, May 2023. [doi]
- Automatic CT liver Couinaud segmentation based on key bifurcation detection with attentive residual hourglass-based cascaded networkManyang Wang, Renchao Jin, Jiayi Lu, Enmin Song, Guangzhi Ma. cbm, 144:105363, 2022. [doi]