Tongue feature dataset construction and real-time detection.

Journal: PloS one
Published Date: Mar 7, 2024

Abstract

BACKGROUND: Tongue diagnosis in traditional Chinese medicine (TCM) provides clinically important, objective evidence from direct observation of specific features that assist with diagnosis. However, the current interpretation of tongue features requires a significant amount of manpower and time. TCM physicians may have different interpretations of features displayed by the same tongue. An automated interpretation system that interprets tongue features would expedite the interpretation process and yield more consistent results.

Authors

  • Wen-Hsien Chang
    Graduate Institute of Chinese Medicine, School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan, Republic of China.
  • Chih-Chieh Chen
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan, Republic of China.
  • Han-Kuei Wu
    Institute of Traditional Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Chinese Medicine, Taiwan Landseed Hospital, Tao-Yuan, Taiwan.
  • Po-Chi Hsu
    Department of Traditional Chinese Medicine, Kuang Tien General Hospital, Taichung, Taiwan, Republic of China.
  • Lun-Chien Lo
    School of Chinese Medicine, China Medical University, Taichung, Taiwan.
  • Hsueh-Ting Chu
    Department of Computer Science and Information Engineering, College of Computer Science, Asia University, Taichung, Taiwan, Republic of China.
  • Hen-Hong Chang
    School of Post-Baccalaureate Chinese Medicine, and Research Center for Chinese Medicine and Acupuncture, China Medical University, Taichung, Taiwan; Departments of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan. Electronic address: tcmchh55@mail.cmu.edu.tw.

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