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Relationships Between Diurnal Changes of Tongue Coating Microbiota and Intestinal Microbiota
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In: Front Cell Infect Microbiol (2022)
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A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning
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In: Biomed Res Int (2021)
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Tongue image quality assessment based on a deep convolutional neural network
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In: BMC Med Inform Decis Mak (2021)
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Teaching Standards, Approaches, and Techniques for K-12 Chinese Classes in the US
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In: Chinese Language Teaching Methodology and Technology (2020)
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A Clustering Framework for Lexical Normalization of Roman Urdu ...
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Diversity by Phonetics and its Application in Neural Machine Translation ...
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The Classification of Tongue Colors with Standardized Acquisition and ICC Profile Correction in Traditional Chinese Medicine
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Abstract:
Background and Goal. The application of digital image processing techniques and machine learning methods in tongue image classification in Traditional Chinese Medicine (TCM) has been widely studied nowadays. However, it is difficult for the outcomes to generalize because of lack of color reproducibility and image standardization. Our study aims at the exploration of tongue colors classification with a standardized tongue image acquisition process and color correction. Methods. Three traditional Chinese medical experts are chosen to identify the selected tongue pictures taken by the TDA-1 tongue imaging device in TIFF format through ICC profile correction. Then we compare the mean value of L*a*b* of different tongue colors and evaluate the effect of the tongue color classification by machine learning methods. Results. The L*a*b* values of the five tongue colors are statistically different. Random forest method has a better performance than SVM in classification. SMOTE algorithm can increase classification accuracy by solving the imbalance of the varied color samples. Conclusions. At the premise of standardized tongue acquisition and color reproduction, preliminary objectification of tongue color classification in Traditional Chinese Medicine (TCM) is feasible.
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Keyword:
Research Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168476/
http://www.ncbi.nlm.nih.gov/pubmed/28050555
https://doi.org/10.1155/2016/3510807
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