| Presentation | 2022-01-12 Comparison of Classification Accuracy of Image Recognition Network for Tongues Diagnosis in Traditional Chinese Medicine Zhenyu An, Shunsuke Nakamura, Ren Wu, Mitsuru Nakata, Qi-Wei Ge, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this paper is to develop a support system that automatically diagnosesthe health status of viscera through tongue diagnosis based on Traditional Chinese Medicine. Every part of the tongue, including the tip, middle, side and root of the tongue, is closely related to the corresponding viscera. We have proposed the method to automatically recognize the tongue using Mask R-CNN and judge the health status of the related viscera based on this. In this paper, in order to improve the accuracy of judging the health status of viscera, we examine the accuracy of the image classification of each part of tongue by several kinds of image recognition networks such as ResNet50, ResNet101 and LeNet, compare the judgment results of these networks and Mask R-CNN on health status of viscera, and evaluate the usefulness of each network in tongue diagnosis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traditional Chinese Medicine / tongue examination / artificial intelligence / image recognition / image classification |
| Paper # | MSS2021-50,SS2021-37 |
| Date of Issue | 2022-01-04 (MSS, SS) |
| Conference Information | |
| Committee | SS / MSS |
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| Conference Date | 2022/1/11(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mathematical Systems Science and its Applications, Software Science, etc. |
| Chair | Takashi Kobayashi(Tokyo Inst. of Tech.) / Atsuo Ozaki(Osaka Inst. of Tech.) |
| Vice Chair | Kozo Okano(Shinshu Univ.) / Shingo Yamaguchi(Yamaguchi Univ.) |
| Secretary | Kozo Okano(Hiroshima City Univ.) / Shingo Yamaguchi(Tokyo Inst. of Tech.) |
| Assistant | Shinpei Ogata(Shinshu Univ.) / Masato Shirai(Shimane Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Software Science / Technical Committee on Mathematical Systems Science and its Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of Classification Accuracy of Image Recognition Network for Tongues Diagnosis in Traditional Chinese Medicine |
| Sub Title (in English) | |
| Keyword(1) | Traditional Chinese Medicine |
| Keyword(2) | tongue examination |
| Keyword(3) | artificial intelligence |
| Keyword(4) | image recognition |
| Keyword(5) | image classification |
| 1st Author's Name | Zhenyu An |
| 1st Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| 2nd Author's Name | Shunsuke Nakamura |
| 2nd Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| 3rd Author's Name | Ren Wu |
| 3rd Author's Affiliation | Yamaguchi Junior College(Yamaguchi Junior College) |
| 4th Author's Name | Mitsuru Nakata |
| 4th Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| 5th Author's Name | Qi-Wei Ge |
| 5th Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| Date | 2022-01-12 |
| Paper # | MSS2021-50,SS2021-37 |
| Volume (vol) | vol.121 |
| Number (no) | MSS-317,SS-318 |
| Page | pp.pp.106-111(MSS), pp.106-111(SS), |
| #Pages | 6 |
| Date of Issue | 2022-01-04 (MSS, SS) |