The following publications are possibly variants of this publication:
- Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture priorHuiting Zhang, Xiaotang Yang, Dengao Li, Yanfen Cui, JuMin Zhao, Shuang Qiu. jbi, 139:104304, March 2023. [doi]
- Segmentation of rectal tumor from multi-parametric MRI images using an attention-based fusion networkMeng Dou, Zhebin Chen, Yuanling Tang, Leiming Sheng, Jitao Zhou, Xin Wang, Yu Yao. mbec, 61(9):2379-2389, September 2023. [doi]
- Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI ImagesWen Jun, Haoxiang Xu, Zhang Wang. brainles-ws 2021: 183-193 [doi]
- Magnetic resonance image segmentation of rectal tumors based on improved CycleGAN and U-Net modelsKefan Li, Baozhu Qi, Mingjia Wang. mta, 83(11):33555-33571, March 2024. [doi]
- A Rectal CT Tumor Segmentation Method Based on Improved U-NetHaowei Dong, Haifei Zhang, Fang Wu, Jianlin Qiu, Jian Zhang, Haoyu Wang. ijprai, 36(4), 2022. [doi]
- Multi-path fusion network based global attention for brain tumor segmentationDongyuan Wu, Shilin Qiu, Jing Qin, Pengbiao Zhao. isaims 2023: 9-13 [doi]