On the Development of a Tool for Tongue Images Analysis

Vocaturo, Eugenio; Zumpano, Ester

doi:10.1109/bibm49941.2020.9313414

Cited by 1 publication

(2 citation statements)

References 28 publications

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“…And patients with mild and moderate COVID-19 commonly would hold a light red tongue and white coating. In contrast, more severe patients had a purple tongue and yellow coating, 32 highlighting that the fatty coating is a significant feature of COVID-19. Liang et al 33 reported a cured case report of COVID-19 on its tongue diagnosis index and its Chinese medicine formula treatment which was also tweaked by the tongue features.…”

Section: Tongue Image For Disease Diagnosismentioning

confidence: 96%

“…Many studies have shown that the external manifestations of the tongue are significantly related to some diseases and health indicators in the body 3 , 27 – 30 and even COVID-19. 4 , 31 – 33 Meanwhile, the movement of the tongue also relies on the function of the brain 34 , 35 and can be used for identity verification. 36 Thus, tongue diagnosis has its inherent rationality, suggesting that TCM tongue diagnosis is expected to obtain evidence-based support.…”

Section: Tongue Diagnosis In Tcm (Background)mentioning

confidence: 99%

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A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation

Liu

Peng

et al. 2023

DIGITAL HEALTH

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The rapid development of artificial intelligence technology has gradually extended from the general field to all walks of life, and intelligent tongue diagnosis is the product of a miraculous connection between this new discipline and traditional disciplines. We reviewed the deep learning methods and machine learning applied in tongue image analysis that have been studied in the last 5 years, focusing on tongue image calibration, detection, segmentation, and classification of diseases, syndromes, and symptoms/signs. Introducing technical evolutions or emerging technologies were applied in tongue image analysis; as we have noticed, attention mechanism, multiscale features, and prior knowledge were successfully applied in it, and we emphasized the value of combining deep learning with traditional methods. We also pointed out two major problems concerned with data set construction and the low reliability of performance evaluation that exist in this field based on the basic essence of tongue diagnosis in traditional Chinese medicine. Finally, a perspective on the future of intelligent tongue diagnosis was presented; we believe that the self-supervised method, multimodal information fusion, and the study of tongue pathology will have great research significance.

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Section: Tongue Image For Disease Diagnosismentioning

confidence: 96%