The following publications are possibly variants of this publication:
- Combining Swin Transformer With UNet for Remote Sensing Image Semantic SegmentationLili Fan, Yu Zhou, Hongmei Liu, Yunjie Li, Dongpu Cao. tgrs, 61:1-11, 2023. [doi]
- Swin Transformer Embedding UNet for Remote Sensing Image Semantic SegmentationXin He, Yong Zhou 0003, Jiaqi Zhao 0001, Di Zhang, Rui Yao, Yong Xue. tgrs, 60:1-15, 2022. [doi]
- Fully feature fusion based neural network for COVID-19 lesion segmentation in CT imagesWei Li, Yangyong Cao, Shanshan Wang, Bolun Wan. bspc, 86(Part A):104939, September 2023. [doi]
- Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT imagesKai Gao, Jianpo Su, Zhongbiao Jiang, Ling-Li Zeng, Zhichao Feng, Hui Shen, Pengfei Rong, Xin Xu 0001, Jian Qin, Yuexiang Yang, Wei Wang, Dewen Hu. mia, 67:101836, 2021. [doi]
- Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter studyYaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian 0001, Yunfei Zha. mbec, 60(9):2721-2736, 2022. [doi]