A Deep Learning Approach for Tongue Diagnosis
With the improvement of living standards, people are paying more attention to healthcare, but there is still a long way to go to improve healthcare. A usable, intelligent aided diagnosis measure can be helpful for people to achieve daily health management. Several studies suggested that tongue features can directly reflect a person’s physical state. In this paper, we apply tongue diagnosis to daily health management. To this end, this paper proposes and implements a classification model of tongue image syndromes based on convolutional neural network and carries out an experiment to verify the feasibility and stability of the model. Finally, a tongue diagnosis platform that can be used for daily health management is implemented. In the two-class experiment, our model has achieved a good result. In addition, our model performs better on classifying the tongue image syndrome compared with traditional machine learning methods.
KeywordsHealthcare Health management Tongue image diagnosis Convolutional neural network
This research was funded by the [Development Project of Jilin Province of China] grant number [20160414009GH, 20170101006JC, 20160204022GX], the [National Natural Science Foundation of China] grant number [61472159, 71620107001, 71232011], the [Jilin Provincial Key Laboratory of Big Date Intelligent Computing] grant number [20180622002JC]. The Premier-Discipline Enhancement Scheme was supported by Zhuhai Government and Premier Key-Discipline Enhancement Scheme was supported by Guangdong Government Funds.
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