The following publications are possibly variants of this publication:
- MSU-Net: A multi-scale U-Net for retinal vessel segmentationZhengjin Shi, Tianyu Wang, Feng Xie, Zheng Huang, Xinyu Zheng, Wenjiao Zhang. isaims 2020: 177-181 [doi]
- mResU-Net: multi-scale residual U-Net-based brain tumor segmentation from multimodal MRIPengcheng Li, Zhihao Li, Zijian Wang, Chaoxiang Li, Monan Wang 0001. mbec, 62(3):641-651, 2024. [doi]
- MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based MethodsLiping Feng, Kepeng Wu, Ziyi Pei, Tengfei Weng, Qi Han 0004, Lun Meng, Xin Qian, Hongxiang Xu, Zicheng Qiu, Zhong Li, Yuan Tian, Guanzhong Liang, Yaojun Hao. access, 12:20734-20751, 2024. [doi]
- Automatic brain tumor segmentation from Multiparametric MRI based on cascaded 3D U-Net and 3D U-Net++Pengyu Li, Wenhao Wu, Lanxiang Liu, Fardad Michael Serry, Jinjia Wang, Hui Han. bspc, 78:103979, 2022. [doi]
- Ultrasound image segmentation based on Transformer and U-Net with joint lossLina Cai, Qingkai Li, Junhua Zhang, Zhenghua Zhang, Rui Yang, Lun Zhang. peerj-cs, 9, 2023. [doi]