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A novel tongue feature extraction method on mobile devices

文献类型：期刊论文

作者Qiu, Dehui6; Zhang, Xinyue5,6; Wan, Xiaohua4,5; Li, Jiacheng3,5; Xu, Ziheng5,6; Lin, Senlin3,5; Zhang, Fa4,5; Song, Xuekun1,2; Zhang, Rui2; Chen, Yulong2
刊名BIOMEDICAL SIGNAL PROCESSING AND CONTROL
出版日期2023-02-01
卷号80页码:13
关键词Tongue diagnosis Deep learning Mobile devices Tongue segmentation Tongue feature classification
ISSN号1746-8094
DOI10.1016/j.bspc.2022.104271
英文摘要In Traditional Chinese Medicine (TCM), tongue diagnosis is essential for symptom differentiation and treatment selection. Compared with traditional tongue diagnostic instruments, deploying a tongue diagnosis system on mobile devices is more convenient to monitor general health and facilitates the development of telemedicine. However, limited by both the quality and quantity of tongue images taken by mobile devices, extracting tongue features of the images maintains a great challenge. In this paper, we present a tongue feature extraction method on mobile devices, containing a high-accuracy tongue segmentation method based on Moment Invariants with Data Augmentation (DAMI) and an efficient and lightweight feature classification model with an attention mechanism. Meanwhile, we construct a novel tongue image dataset from mobile devices for extracting tongue features, significantly, first including sublingual images which are beneficial to extracting sublingual vein features. Extensive experiments on two datasets demonstrate the effectiveness and robustness of our method. Furthermore, our method greatly reduces the computing and storage demands compared with other current methods, providing a good prerequisite for deployment on mobile devices. Finally, to demonstrate the potential application of our proposed method, we develop a TCM intelligence tongue diagnosis application, which can be accessed through the WeChat Mini Program or web version, exhibiting its great potential in clinical diagnosis and health monitoring.
资助项目National Key Research and Develop-ment Program of China[2017YFA0504702] ; NSFC[61932018] ; NSFC[62072441] ; Henan Science and Technology Research and Social Development Project[202102310497] ; Key scientific research projects of higher education institutions in Henan Province[20A360005] ; Research Project of National Clinical Research Base of Traditional Chinese Medicine[2019JDZX001] ; Research Project of National Clinical Research Base of Traditional Chinese Medicine[2019JDZX028]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000875634300012
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/19756]  
专题中国科学院计算技术研究所期刊论文
通讯作者Wan, Xiaohua; Zheng, Yuling
作者单位1.Henan Univ Chinese Med, Affiliated Hosp 1, Zhengzhou, Henan, Peoples R China
2.Henan Univ Chinese Med, Zhengzhou, Henan, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Beijing Inst Technol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Comp Technol, High Performance Comp Res Ctr, Beijing, Peoples R China
6.Capital Normal Univ, Informat Engn Coll, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Qiu, Dehui,Zhang, Xinyue,Wan, Xiaohua,et al. A novel tongue feature extraction method on mobile devices[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2023,80:13.
APA Qiu, Dehui.,Zhang, Xinyue.,Wan, Xiaohua.,Li, Jiacheng.,Xu, Ziheng.,...&Zheng, Yuling.(2023).A novel tongue feature extraction method on mobile devices.BIOMEDICAL SIGNAL PROCESSING AND CONTROL,80,13.
MLA Qiu, Dehui,et al."A novel tongue feature extraction method on mobile devices".BIOMEDICAL SIGNAL PROCESSING AND CONTROL 80(2023):13.

入库方式： OAI收割

来源：计算技术研究所

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