Learning-based tongue detection for automatic tongue color diagnosis system

Qichao Tang, Tingxiao Yang*, Yuichiro Yoshimura, Takao Namiki, Toshiya Nakaguchi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Tongue diagnosis is expected to be used for preventive medicine, because it can check the health condition comprehensively. For the computer-assisted tongue diagnosis, automatic tongue detection from the facial pictures is needed. In this study, we employed deep learning-based tongue detection and compared its performance with a conventional machine learning method. We found that the deep learning-based method can detect the tongue perfectly from the stably captured facial pictures. Besides, this study clarified that it can detect the tongue quite accurately from freely captured facial pictures as well by giving appropriate training datasets.

Original languageEnglish
Pages (from-to)363-369
Number of pages7
JournalArtificial Life and Robotics
Volume25
Issue number3
DOIs
StatePublished - 2020/08/01

Keywords

  • Automatic diagnosis
  • Deep learning
  • Tongue detection

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • Artificial Intelligence

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