Presentation 2023-01-11
Automatic Diagnosis of Fissured Tongue in Traditional Chinese Medicine Tongue Diagnosis
Zhenyu An, Ren Wu, Mitsuru Nakata, Qi-Wei Ge,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A fissured tongue is a tongue in which the surface of the tongue (meaty part of the tongue) is split. This study aims to automatically diagnose fissured tongue by discriminating the tongue surface state using artificial intelligence technology based on Traditional Chinese Medicine. This paper proposes four image recognition networks, LeNet, ResNet50, ResNet101, and DenseNet169, and an automatic diagnostic method for fissured tongues using these ensembles. First, four networks and an ensemble are trained for fissured and non-fissured tongue images, and the fissured tongue image is automatically extracted. Next, for the extracted images, the degree of tongue fissured symptoms is automatically diagnosed using these networks and ensembles so that the condition of the fissured tongue is classified into mild and severe. From the experimental results, ensemble learning with the four networks is the most effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) fissured tongue / Traditional Chinese Medicine / artificial intelligence / ensemble learning
Paper # MSS2022-53,SS2022-38
Date of Issue 2023-01-03 (MSS, SS)

Conference Information
Committee MSS / SS
Conference Date 2023/1/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Atsuo Ozaki(Osaka Inst. of Tech.) / Kozo Okano(Shinshu Univ.)
Vice Chair Shingo Yamaguchi(Yamaguchi Univ.) / Yoshiki Higo(Osaka Univ.)
Secretary Shingo Yamaguchi(Hokkaido Univ.) / Yoshiki Higo(NEC)
Assistant Masato Shirai(Shimane Univ.) / Shinsuke Matsumoto(Osaka Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Diagnosis of Fissured Tongue in Traditional Chinese Medicine Tongue Diagnosis
Sub Title (in English)
Keyword(1) fissured tongue
Keyword(2) Traditional Chinese Medicine
Keyword(3) artificial intelligence
Keyword(4) ensemble learning
1st Author's Name Zhenyu An
1st Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
2nd Author's Name Ren Wu
2nd Author's Affiliation Yamaguchi Junior College(Yamaguchi Junior College)
3rd Author's Name Mitsuru Nakata
3rd Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
4th Author's Name Qi-Wei Ge
4th Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
Date 2023-01-11
Paper # MSS2022-53,SS2022-38
Volume (vol) vol.122
Number (no) MSS-329,SS-330
Page pp.pp.48-53(MSS), pp.48-53(SS),
#Pages 6
Date of Issue 2023-01-03 (MSS, SS)