| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2022-01-12 11:10 Comparison of Classification Accuracy of Image Recognition Network for Tongues Diagnosis in Traditional Chinese Medicine Zhenyu An, Shunsuke Nakamura (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.)  MSS2021-50 SS2021-37 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of this paper is to develop a support system that automatically diagnoses the 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) |
| (in English) | Traditional Chinese Medicine / tongue examination / artificial intelligence / image recognition / image classification / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 317, MSS2021-50, pp. 106-111, Jan. 2022. | |
| Paper # | MSS2021-50 | |
| Date of Issue | 2022-01-04 (MSS, SS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | MSS2021-50 SS2021-37 |
|
| Conference Information | |
| Committee | SS MSS |
| Conference Date | 2022-01-11 - 2022-01-12 |
| 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. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-01-SS-MSS |
| Language | Japanese |
| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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.) |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-2 |
| Date Time | 2022-01-12 11:10:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-50, SS2021-37 |
| Volume (vol) | vol.121 |
| Number (no) | no.317(MSS), no.318(SS) |
| Page | pp.106-111 |
| #Pages | 6 |
| Date of Issue | 2022-01-04 (MSS, SS) |
[Return to Top Page]