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Diagnosis of Diabetes by Tongue Analysis
2019 1st International Conference on Advances in Information Technology (ICAIT), 2019Tongue image is used to identify any disease based on its shape, color, size and texture. We proposed the image segmentation method; the segmented study of the tongue reflects the presence of diabetes of a person in addition optimization technique is used to obtain the best result.
E. Srividhya, A. Muthukumaravel
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Tongue Area Extraction in Tongue Diagnosis of Traditional Chinese Medicine
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005The extraction of tongue area from digital photos is essential to an automatic tongue diagnostic system in traditional Chinese medicine. Simple segmentation methods couldn't be effective due to the weak edge of tongue and the details on the tongue's surface.
Jia, Wu, Yonghong, Zhang, Jing, Bai
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Machine learning for tongue diagnosis
2007 6th International Conference on Information, Communications & Signal Processing, 2007Tongue diagnosis is an important inspection method in Traditional Chinese Medicine (TCM). In this paper, we investigate machine learning techniques for tongue diagnosis. To do this, we first identify tongue properties and classes. In tongue property identification, we identify 21 properties from tongue substance and coating, whereas in tongue ...
null Siu Cheung Hui +2 more
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Tongue Diagnosis Using Image Processing
2021The tongue is beneficial as a measurement tool and is an indicator for analyzing the progress of a disease. In today’s world, healthcare professionals are using advanced technologies for the identification of disease parameters by using the inter-connection of one body part with another.
Shreya Devkar +3 more
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Learning-based tongue detection for automatic tongue color diagnosis system
Artificial Life and Robotics, 2020Tongue diagnosis is expected to be used for preventive medicine, because it can check the health condition comprehensively. For the computer-assisted tongue diagnosis, automatic tongue detection from the facial pictures is needed. In this study, we employed deep learning-based tongue detection and compared its performance with a conventional machine ...
Qichao Tang +4 more
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Computerized Tongue Diagnosis Based on Bayesian Networks
IEEE Transactions on Biomedical Engineering, 2004Tongue diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experience-based nature, traditional tongue diagnosis has a very limited-application in clinical medicine. Moreover, traditional tongue diagnosis is always concerned with the identification of syndromes rather than ...
Pang, B, Zhang, DD, Li, N, Wang, K
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[Ultrasonic diagnosis of the tongue].
Laryngo- rhino- otologie, 1991Ultrasonic diagnosis of the tongue supplements inspection and palpation, and, aside from computerized tomography and, in particular, nuclear spin tomography, broadens our knowledge. By way of introduction, transcutaneous treatment using the submental sound-scanner in "B" mode is described.
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[Tongue diagnosis support system].
[Hokkaido igaku zasshi] The Hokkaido journal of medical science, 2005Tongue diagnosis is one of the most important diagnostic methods in Oriental Medical Science (OMS). This diagnosis is painless and non-invasive method. However, it is not easy to cultivate skillful doctors. As one of the reasons, definition of tongue color is rather subjective and sensuous measure and color isn't related to quantitative physical value.
Naoya, Ikeda, Takashi, Uozumi
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Automated Tongue Image Segmentation in Tongue Diagnosis
2023 8th International Conference on Signal and Image Processing (ICSIP), 2023Qian Zhang, Fangping Mu
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Differential diagnosis of tongue lesions.
Quintessence international (Berlin, Germany : 1985), 2003This article reviews the clinical characteristics of the numerous local and systemic conditions that frequently involve the tongue and presents classifications based on their appearance and common locations that can aid dentists in their early recognition and clinical diagnosis.
Daniel M, Laskin +2 more
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