ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

Cui, Yan; Liao, Shizhong; Wang, Hongwu

doi:10.1155/2015/362806

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Tongue diagnosis is the vital component of observation diagnosis of TCM to examine the physiological and pathological changes of the human body. Tongue diagnosis, as a concept for the preventive treatment of diseases, originates from Su Wen (plain questions) ( 11 ). It is a simple, non-invasive and valuable diagnostic procedure that has been repeatedly verified by clinical practitioners of TCM for at least 2,000 years ( 12 , 13 ).…”

Section: Introductionmentioning

confidence: 99%

Potential screening and early diagnosis method for cancer: Tongue diagnosis

Han

Yang

et al. 2016

International Journal of Oncology

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Tongue diagnosis, as a unique method of traditional Chinese medicine (TCM), was used to discriminate physiological functions and pathological conditions by observing the changes of the tongue and tongue coating. The aims of the present study were to explore a potential screening and early diagnosis method of cancer through evaluating the differences of the images of tongue and tongue coating and the microbiome on the tongue coating. The DS01-B tongue diagnostic information acquisition system was used to photograph and analyze the tongue and tongue coating. The next-generation sequencing technology was used to determine the V2-V4 hypervariable regions of 16S rDNA to investigate the microbiome on the tongue coating. Bioinformatics and statistical methods were used to analyze the microbial community structure and diversity. Comparing with the healthy people, the number of mirror-like tongue, thick tongue coating and the moisture of tongue were increased in cancers. The dominant color of the tongue in the healthy people was reddish while it was purple in the cancers. The relative abundance of Neisseria, Haemophilus, Fusobacterium and Porphyromonas in the healthy people were higher than that in the cancers. We also found 6 kinds of special microorganisms at species level in cancers. The study suggested that tongue diagnosis may provide potential screening and early diagnosis method for cancer.

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Section: Introductionmentioning

confidence: 99%

Potential screening and early diagnosis method for cancer: Tongue diagnosis

Han

Yang

et al. 2016

International Journal of Oncology

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“…Tongue diagnosis requires proper skills and specific light conditions. Despite the difficulty, mostly because the diagnosis relies on the practitioner experience and knowledge, several approaches based on digital image capture and computerized tongue examination systems have been proposed and used in large scale studies, demonstrating its applicability for health identification and disease differentiation [ 35 , 36 , 37 , 38 ]. The Automatic Tongue Diagnosis System (ATDS, Figure 2 ) comprises hardware responsible for the image acquisition and software that allows the tongue body segmentation, feature extraction, and diagnosis.…”

Section: Tongue Diagnosismentioning

confidence: 99%

Can Traditional Chinese Medicine Diagnosis Be Parameterized and Standardized? A Narrative Review

et al. 2021

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The integration of Traditional Chinese Medicine (TCM) in Western health systems and research requires a rational communicable theory, scientific proof of efficacy and safety, and quality control measures. The existence of clear definitions and the diagnosis standardization are critical factors to establish the patient’s vegetative functional status accurately and, therefore, systematically apply TCM therapeutics such as the stimulation of reflex skin areas known as acupoints. This science-based conceptualization entails using validated methods, or even developing new systems able to parameterize the diagnosis and assess TCM related effects by objective measurements. Traditionally, tongue and pulse diagnosis and the functional evaluation of action points by pressure sensitivity and physical examination may be regarded as essential diagnostic tools. Parameterizing these techniques is a future key point in the objectification of TCM diagnosis, such as by electronic digital image analysis, mechanical pulse diagnostic systems, or the systematic evaluation of acupoints’ electrophysiology. This review aims to demonstrate and critically analyze some achievements and limitations in the clinical application of device-assisted TCM diagnosis systems to evaluate functional physiological patterns. Despite some limitations, tongue, pulse, and electrophysiological diagnosis devices have been reported as a useful tool while establishing a person’s functional status.

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“…Recently, instead of observing and recording tongue features, research has been focusing on objective tongue feature analysis with the benefit of modern technology. Tongue features have been digitally analyzed to discover convenient ways to detect diseases [ 10 , 11 , 12 ]. The extensive application of artificial intelligence techniques [ 13 ] in the medical field has increased objectivity in the interpretation of the relationship between tongue features and diseases.…”

Section: Introductionmentioning

confidence: 99%

A Framework to Predict Gastric Cancer Based on Tongue Features and Deep Learning

Zhu

Jiu-zhang

et al. 2022

Micromachines

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Gastric cancer has become a global health issue, severely disrupting daily life. Early detection in gastric cancer patients and immediate treatment contribute significantly to the protection of human health. However, routine gastric cancer examinations carry the risk of complications and are time-consuming. We proposed a framework to predict gastric cancer non-invasively and conveniently. A total of 703 tongue images were acquired using a bespoke tongue image capture instrument, then a dataset containing subjects with and without gastric cancer was created. As the images acquired by this instrument contain non-tongue areas, the Deeplabv3+ network was applied for tongue segmentation to reduce the interference in feature extraction. Nine tongue features were extracted, relationships between tongue features and gastric cancer were explored by using statistical methods and deep learning, finally a prediction framework for gastric cancer was designed. The experimental results showed that the proposed framework had a strong detection ability, with an accuracy of 93.6%. The gastric cancer prediction framework created by combining statistical methods and deep learning proposes a scheme for exploring the relationships between gastric cancer and tongue features. This framework contributes to the effective early diagnosis of patients with gastric cancer.

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ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

Cited by 6 publications

References 22 publications

Potential screening and early diagnosis method for cancer: Tongue diagnosis

Potential screening and early diagnosis method for cancer: Tongue diagnosis

Can Traditional Chinese Medicine Diagnosis Be Parameterized and Standardized? A Narrative Review

A Framework to Predict Gastric Cancer Based on Tongue Features and Deep Learning

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