DHCT-DT: Dual-branch Hybrid CNN-Transformer Combined with Dual-Teacher Semi-Supervised Network for Kidney Ultrasound Image Segmentation

被引：0
|
作者：
Luo, Yang [1 ,2 ]
Liu, Jun [1 ,2 ]
Ding, Mengqian [1 ,2 ]
机构：
[1] School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China
[2] Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China
来源：
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics | 2024年
关键词：
Breast ultrasound - CNN and transformer - Kidney ultrasound segmentation - Labeled data - Semi-supervised - Semi-supervised learning - Supervised network - Teacher models - Teachers' - Ultrasound images;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
17
引用
收藏
页码：5224 / 5229
相关论文
共 42 条
  • [41] Dual CNN cross-teaching semi-supervised segmentation network with multi-kernels and global contrastive loss in ACDC
    Li, Keming
    Zhang, Guangyuan
    Li, Kefeng
    Li, Jindi
    Wang, Jiaqi
    Yang, Yumin
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 61 (12) : 3409 - 3417
  • [42] DBL-Net: A dual-branch learning network with information from spatial and frequency domains for tumor segmentation and classification in breast ultrasound image
    Zhu, Chengzhang
    Chai, Xian
    Wang, Zhiyuan
    Xiao, Yalong
    Zhang, Renmao
    Yang, Zhangzheng
    Feng, Jie
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 93
12345