Computerized tongue coating nature diagnosis using convolutional neural network

Shengyu Fu; Hong Zheng; Zijiang Yang; Bo Yan; Hongyi Su; Yiping Liu

doi:10.1109/ICBDA.2017.8078732

Computerized tongue coating nature diagnosis using convolutional neural network

Shengyu Fu, Hong Zheng, Zijiang Yang, Bo Yan, Hongyi Su, Yiping Liu

计算机学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

21 引用（Scopus）

摘要

Tongue coating nature inspection is an essential part in the tongue diagnosis of Traditional Chinese Medicine (TCM). However, it has been depending on doctors' visual judgment. Although many researches have been done in this field, the issue remains challenging. The approaches are limited to image processing or shallow neural networks. In this paper, we propose to computerize tongue coating nature using deep neural networks. The method combines the characteristics of basic image processing and deep learning. A standard and balanced tongue image dataset is used to validate the proposed method.

源语言	英语
主期刊名	2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017
出版商	Institute of Electrical and Electronics Engineers Inc.
页	730-734
页数	5
ISBN（电子版）	9781509036189
DOI	https://doi.org/10.1109/ICBDA.2017.8078732
出版状态	已出版 - 20 10月 2017
活动	2nd IEEE International Conference on Big Data Analysis, ICBDA 2017 - Beijing, 中国期限: 10 3月 2017 → 12 3月 2017

出版系列

姓名	2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017

会议

会议	2nd IEEE International Conference on Big Data Analysis, ICBDA 2017
国家/地区	中国
市	Beijing
时期	10/03/17 → 12/03/17

访问文件

10.1109/ICBDA.2017.8078732

其它文件与链接

链接到 Scopus 的出版物

引用此

Fu, S., Zheng, H., Yang, Z., Yan, B., Su, H., & Liu, Y. (2017). Computerized tongue coating nature diagnosis using convolutional neural network. 在 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017 (页码 730-734). 文章 8078732 (2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBDA.2017.8078732

@inproceedings{20cc0378a13b416facd42f5934a67720,

title = "Computerized tongue coating nature diagnosis using convolutional neural network",

abstract = "Tongue coating nature inspection is an essential part in the tongue diagnosis of Traditional Chinese Medicine (TCM). However, it has been depending on doctors' visual judgment. Although many researches have been done in this field, the issue remains challenging. The approaches are limited to image processing or shallow neural networks. In this paper, we propose to computerize tongue coating nature using deep neural networks. The method combines the characteristics of basic image processing and deep learning. A standard and balanced tongue image dataset is used to validate the proposed method.",

keywords = "Convolutional Neural Network(CNN), Deep Learning, Image classification, tongue coating nature",

author = "Shengyu Fu and Hong Zheng and Zijiang Yang and Bo Yan and Hongyi Su and Yiping Liu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd IEEE International Conference on Big Data Analysis, ICBDA 2017 ; Conference date: 10-03-2017 Through 12-03-2017",

year = "2017",

month = oct,

day = "20",

doi = "10.1109/ICBDA.2017.8078732",

language = "English",

series = "2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "730--734",

booktitle = "2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017",

address = "United States",

}

Fu, S, Zheng, H, Yang, Z, Yan, B , Su, H & Liu, Y 2017, Computerized tongue coating nature diagnosis using convolutional neural network. 在 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017., 8078732, 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017, Institute of Electrical and Electronics Engineers Inc., 页码 730-734, 2nd IEEE International Conference on Big Data Analysis, ICBDA 2017, Beijing, 中国, 10/03/17. https://doi.org/10.1109/ICBDA.2017.8078732

Computerized tongue coating nature diagnosis using convolutional neural network. / Fu, Shengyu; Zheng, Hong; Yang, Zijiang 等.
2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 730-734 8078732 (2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Computerized tongue coating nature diagnosis using convolutional neural network

AU - Fu, Shengyu

AU - Zheng, Hong

AU - Yang, Zijiang

AU - Yan, Bo

AU - Su, Hongyi

AU - Liu, Yiping

PY - 2017/10/20

Y1 - 2017/10/20

N2 - Tongue coating nature inspection is an essential part in the tongue diagnosis of Traditional Chinese Medicine (TCM). However, it has been depending on doctors' visual judgment. Although many researches have been done in this field, the issue remains challenging. The approaches are limited to image processing or shallow neural networks. In this paper, we propose to computerize tongue coating nature using deep neural networks. The method combines the characteristics of basic image processing and deep learning. A standard and balanced tongue image dataset is used to validate the proposed method.

AB - Tongue coating nature inspection is an essential part in the tongue diagnosis of Traditional Chinese Medicine (TCM). However, it has been depending on doctors' visual judgment. Although many researches have been done in this field, the issue remains challenging. The approaches are limited to image processing or shallow neural networks. In this paper, we propose to computerize tongue coating nature using deep neural networks. The method combines the characteristics of basic image processing and deep learning. A standard and balanced tongue image dataset is used to validate the proposed method.

KW - Convolutional Neural Network(CNN)

KW - Deep Learning

KW - Image classification

KW - tongue coating nature

UR - http://www.scopus.com/inward/record.url?scp=85039979371&partnerID=8YFLogxK

U2 - 10.1109/ICBDA.2017.8078732

DO - 10.1109/ICBDA.2017.8078732

M3 - Conference contribution

AN - SCOPUS:85039979371

T3 - 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017

SP - 730

EP - 734

BT - 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Big Data Analysis, ICBDA 2017

Y2 - 10 March 2017 through 12 March 2017

ER -

Fu S, Zheng H, Yang Z, Yan B , Su H, Liu Y. Computerized tongue coating nature diagnosis using convolutional neural network. 在 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 730-734. 8078732. (2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017). doi: 10.1109/ICBDA.2017.8078732

Computerized tongue coating nature diagnosis using convolutional neural network

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