Abstract
Medical diagnosis using the tongue is a unique and important diagnostic method of traditional Chinese medicine (TCM) . However, the clinical applications of tongue diagnosis have been limited due to three factors: (1) tongue diagnosis is usually based on the capacity of the eye for detailed discrimination. (2) the correctness of tongue diagnosis depends on the experience of physicians, and (3) traditional tongue diagnosis is always dedicated to the identification of syndromes rather than diseases. To address these problems, in this chapter, we present a tongue-computing model (TCoM) for the diagnosis of appendicitis based on quantitative measurements that include chromatic and textural metrics. These metrics are computed from true color tongue images using appropriate techniques of image processing. When our approach was applied to clinical tongue images, the results of the experiments were encouraging.
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References
Chen, Z.L., & Bei, R.P. (1991). Tongue Furring and Diseases. People’s Sanitation Publishing House.
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Pang, B., Zhang, D., & Wang, K. (2005). Tongue image analysis for appendicitis diagnosis. Information Sciences, 175(3), 160–176.
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© 2017 Springer Science+Business Media Singapore
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Zhang, D., Zhang, H., Zhang, B. (2017). Tongue Image Analysis for Appendicitis Diagnosis. In: Tongue Image Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-10-2167-1_15
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DOI: https://doi.org/10.1007/978-981-10-2167-1_15
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-2167-1
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