Medical image segmentation based on ViT and joint optimization strategy
Image Processing|更新时间:2026-03-02
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Medical image segmentation based on ViT and joint optimization strategy
“The research progress in the field of biomedical imaging analysis was introduced, and relevant experts proposed the NucleiViT model based on visual transformers, providing a new solution for solving the problem of cell segmentation.”
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 2, Pages: 303-317(2026)
作者机构:
1. 西安现代控制技术研究所, 陕西 西安 710065
2. 西安交通大学 信息与通信工程学院, 陕西 西安 710049
3. 西北工业大学 无人系统技术研究院, 陕西 西安 710072
作者简介:
基金信息:
National Natural Science Foundation of China(62106193);Shanghai Academy of Spaceflight Technology Self-Research and Development Fund(D5203240888);Fundamental Research Funds for the Central Universities(D5000240033)
MA Long, BAI Kun, FENG Xingtai, et al. Medical image segmentation based on ViT and joint optimization strategy[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 303-317.
DOI:
MA Long, BAI Kun, FENG Xingtai, et al. Medical image segmentation based on ViT and joint optimization strategy[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 303-317. DOI: 10.37188/CJLCD.2025-0222. CSTR: 32172.14.CJLCD.2025-0222.
Medical image segmentation based on ViT and joint optimization strategy