您当前的位置:
首页 >
文章列表页 >
Semi-supervised tongue image segmentation method for traditional chinese medicine based on mutual learning with dual models
Image Segmentation | 更新时间:2024-08-16
    • Semi-supervised tongue image segmentation method for traditional chinese medicine based on mutual learning with dual models

    • 在中医舌诊领域,研究者提出了一种基于双模型互学习的半监督舌体图像分割方法,通过少量标签数据实现高精度分割,为中医舌象分析和诊疗数字化提供了新方案。
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 8, Pages: 1014-1023(2024)
    • DOI:10.37188/CJLCD.2023-0308    

      CLC: TP391
    • Published:05 August 2024

      Received:22 September 2023

      Revised:16 October 2023

    扫 描 看 全 文

  • LI Fangxu, XU Wangming, XU Xue, et al. Semi-supervised tongue image segmentation method for traditional chinese medicine based on mutual learning with dual models. [J]. Chinese Journal of Liquid Crystals and Displays 39(8):1014-1023(2024) DOI: 10.37188/CJLCD.2023-0308.

  •  
  •  

0

Views

10

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Semantic segmentation algorithm for foggy cityscapes images by fusing self-supervised contrastive learning
Defect detection algorithm of improved YOLOv5s solar cell
Dense bone stick text detection algorithm in complex texture background
Object detection method based on CIoU improved bounding box loss function

Related Author

XU Xue
XU Wang-ming
LI Fang-xu
MENG Xutao
WANG Rui
LIU Liwei
GUO Tailiang
LIN Zhixian

Related Institution

College of Computer Science and Engineering, Changchun University of Technology
Fujian Science and Technology Innovation Laboratory for Photoelectric Information
School of Advanced Manufacturing, Fuzhou University
Shaanxi Provincial Institute of Cultural Relics Protection
Institute of Archaeology, Chinese Academy of Social Sciences
0