Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 8, 1014(2024)
Semi-supervised tongue image segmentation method for traditional chinese medicine based on mutual learning with dual models
[1] LU Y X, LI X G, ZHANG H et al. Review on tongue image segmentation technologies for traditional Chinese medicine: methodologies, performances and prospects[J]. Acta Automatica Sinica, 47, 1005-1016(2021).
[2] LI J W. Research on the classification of tongue features of traditional Chinese medicine based on deep learning[D](2022).
[3] WANG Y Y. Diagnosis of tongue images based on convolutional neural networks[D](2022).
[4] ZHANG X F, GUO Y T, CAI Y H et al. Tongue image segmentation algorithm based on deep convolutional neural network and fully conditional random fields[J]. Journal of Beijing University of Aeronautics and Astronautics, 45, 2364-2374(2019).
[5] YAN J J, XU Z, GUO R et al. Research on tongue image segmentation based on mask R-CNN[J]. Modernization of Traditional Chinese Medicine and Materia Medica—World Science and Technology, 22, 1532-1538(2020).
[14] PELÁEZ-VEGAS A, MESEJO P, LUENGO J. A survey on semi-supervised semantic segmentation[J/OL](2023).
[16] CHAPELLE O, SCHOLKOPF B, ZIEN A. Semi-supervised learning[J]. IEEE Transactions on Neural Networks, 20, 542(2009).
[24] FANG C W, LI X, LI Z Y et al. Interactive dual-model learning for semi-supervised medical image segmentation[J]. Acta Automatica Sinica, 49, 805-819(2023).
Get Citation
Copy Citation Text
Fangxu LI, Wangming XU, Xue XU, Yun JIA. 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, 2024, 39(8): 1014
Category: Image Segmentation
Received: Sep. 22, 2023
Accepted: --
Published Online: Sep. 27, 2024
The Author Email: Yun JIA (jiayun@cug.edu.cn)