scholarly journals Study on Fat and Thin Analysis of Tongue Body Based on Two-Dimensional Ultrasonic Imaging

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Yanguo Hu ◽  
Yaying Zhao ◽  
Dean Fu
Keyword(s):  
Chinese Medicine ◽  
Ultrasound Imaging ◽  
Measurement Method ◽  
Automatic Segmentation ◽  
Modern Medicine ◽  
Two Dimensional ◽  
New Era ◽  
Tongue Diagnosis ◽  
Line Spacing ◽  
Important Position

In the development of traditional Chinese medicine in China for five thousand years, the tongue clinic occupies a very important position. In Chinese medicine, it is an irreplaceable role in the diagnosis and treatment of Chinese medicine of important method. Tongue diagnosis as one of the most characteristic of Chinese medicine diagnosis has been from the previous subjective observation, relying on the experience to judge the era into the new era of tongue diagnosis objectification, quantification, and the introduction of computer digital image processing technology to more Accurate diagnosis. This article will mainly introduce the current in the Chinese and Western medicine on all aspects of the tongue diagnosis of the objective, micro, quantitative progress, the characteristics of tongue images and a variety of processing techniques, including tongue image automatic segmentation, and tongue fat and thin The Relationship and Modernization of Organ Pathology in Viscera. At the same time, a tongue-sized measurement method is introduced. Two-dimensional ultrasound imaging is used as a means of inspection to establish a set of ultrasonic tongue-sized measurement methods. The measured parameters include the two longitudinal planes of the tongue and the cross-section of the tongue. Out of the tongue size of the data, the overall analysis of the size of the tongue shape. This method combines some of the configuration line spacing, area, and circumference measurement functions to directly measure the data. Finally, through the accuracy test of the measurement method, it is proved that the measurement result of tongue two-dimensional ultrasound imaging is accurate. All the efforts of modernization are committed to the Chinese medicine tongue medicine to scientific can be quantified; Chinese medicine tongue diagnosis will also make a greater contribution to modern medicine.

Automatic Segmentation of Tongue Image Based on Res-Unet Approach

2021 ◽  
Vol 11 (8) ◽  
pp. 2167-2176
Author(s):  
Xi Guan ◽  
Wenbo Zhang ◽  
Juhua Zhou ◽  
Bofeng Wu ◽  
He Huang ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Automatic Segmentation ◽  
Data Sets ◽  
Challenging Problem ◽  
Residual Network ◽  
Tongue Diagnosis ◽  
Important Position ◽  
Collection Methods

Tongue diagnosis occupies an important position in the field of traditional Chinese medicine and has been developed for thousands of years. Doctors diagnose disease based on tongue images of patients stored in hospital databases. Hence, segmenting the tongue area of the tongue image facilitates the diagnosis and saves space for storing the tongue image. In order to solve such a challenging problem, we put forward a method combing Unet and Res-net for tongue image segmentation and implements the end-to-end form. In our Res-Unet architecture, including four encoder blocks and four decoder blocks, and the residual network (Res-net) block used as the backbone for each block. The upsampling layer restores the features extracted by the sampling layer. We use our own datasets named TongueSet1 (TS1) and Tongueset2 (TS2) that collected from the hospital. The collection methods of these two datasets are different; TS1 is collected by professionals while TS2 is taken by nurses. This method obtained the latest results on both data sets. We used accuracy (acc) and mean intersection (mIoU) as the evaluation indicators of our model. Among them, the acc and mIoU of the model on TongueSet1 reached 0.984 and 0.925, on TongueSet2 reached 0.985 and 0.925.

Opening up a New Field of Modern Medical Research 1

2020 ◽  
Author(s):  
Xiaoguang Li
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Human Body ◽  
Low Cost ◽  
Acupuncture Point ◽  
Modern Medicine ◽  
Body Structure ◽  
Special Effect ◽  
Special Knowledge ◽  
Opening Up

Modern medicine tells us that the human body is an organism composed of heart, lung, liver, kidney, spleen, stomach, brain, nerves, muscles, bones, blood vessels, blood and so on, while traditional Chinese medicine believes that besides these tissues and organs, the human body still has another part of the structure, traditional Chinese medicine calls them Jing Luo and Shu Xue. Jing Luo means the longitudinal line of the human body and the accompanying net, translated into English Meridians and Collaterals. Shu Xue means holes distributed on Jing Luo and outside Jing Luo, because stimulating Shu Xue's position by acupuncture, massage and other methods can cure diseases, so Shu Xue is translated into English acupuncture point, abbreviated as acupoint or point. Meridians and acupoints are the special knowledge of human body structure in traditional Chinese medicine. Traditional Chinese medicine not only draws the distribution map of the meridians and acupoints in the human body, but also has been using them to treat diseases for thousands of years. There are hundreds of these acupoints, stimulating each one by acupuncture, massage or other methods will have a special effect on the human body and can treat various diseases. But what effect does stimulating every acupoint have on the human body so that it can treat various diseases? The discussion of traditional Chinese medicine is vague and incomprehensible, and can not be proved by experiments. According to the author's research for more than 30 years, this paper makes a clear and accurate exposition of the effects on the human body and diseases that can be treated with acupoint massage. These statements can be proved by experiments, so they are believed to be reliable. It is hoped that meridians, acupoints and massage therapy can be incorporated into modern medicine and become a part of modern medicine after being proved by others through experiments. Massaging acupoints can not only treat many diseases that are difficult to be treated with drugs, but also have simple methods and low cost.

1+1 > 2: Integration of the Host-directed Traditional Chinese Medicine and the Virus-targeted Modern Medicine in Control of COVID-19

2020 ◽  
Vol 7 (2) ◽  
pp. 89-94
Author(s):  
Jianjun Sun
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Infectious Diseases ◽  
Modern Medicine ◽  
The World ◽  
Plausible Mechanism

The COVID-19 pandemic has caused millions of infections and hundreds of thousands deaths in the world. The pandemic is still ongoing and no specific antivirals have been found to control COVID-19. The integration of Traditional Chinese Medicine with supportive measures of Modern Medicine has reportedly played an important role in the control of COVID-19 in China. This review summarizes the evidence of TCM in the treatment of COVID-19 and discusses the plausible mechanism of TCM in control of COVID-19 and other viral infectious diseases.

Systems Biology Technologies Enable Personalized Traditional Chinese Medicine: A Systematic Review

2012 ◽  
Vol 40 (06) ◽  
pp. 1109-1122 ◽  
Author(s):  
Xijun Wang ◽  
Aihua Zhang ◽  
Hui Sun ◽  
Ping Wang
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Disease Diagnosis ◽  
Modern Medicine ◽  
Therapeutic Approaches ◽  
Current Trends ◽  
Close Relationship ◽  
The Right ◽  
Personalize Medicine

Traditional Chinese medicine (TCM), an alternative medicine, focuses on the treatment of human disease via the integrity of the close relationship between body and syndrome analysis. It remains a form of primary care in most Asian countries and its characteristics showcase the great advantages of personalized medicine. Although this approach to disease diagnosis, prognosis and treatment has served the medical establishment well for thousands of years, it has serious shortcomings in the era of modern medicine that stem from its reliance on reductionist principles of experimentation and analysis. In this way, systems biology offers the potential to personalize medicine, facilitating the provision of the right care to the right patient at the right time. We expect that systems biology will have a major impact on future personalized therapeutic approaches which herald the future of medicine. Here we summarize current trends and critically review the potential limitations and future prospects of such treatments. Some characteristic examples are presented to highlight the application of this groundbreaking platform to personalized TCM as well as some of the necessary milestones for moving systems biology of a state-of-the-art nature into mainstream health care.

scholarly journals Xiaojin Pill with natural musk in the treatment of plasma cell mastitis

2021 ◽  
Vol 6 (3) ◽  
Keyword(s):  
Surgical Treatment ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Plasma Cell ◽  
Plasma Cells ◽  
Modern Medicine ◽  
Breast Diseases ◽  
Benign Breast Diseases

Introduction: Plasma cell mastitis is a rare benign suppurative disease of the breast based on the dilatation of mammary ducts and infiltration of plasma cells. Modern medicine focuses on surgical treatment. It is easy to recur after operation. Xiaojin Pill with natural musk is a oral traditional Chinese medicine and plays a role in benign breast diseases. There are very few reports on the use of Xiaojin Pill with natural musk in treating plasma cell mastitis yet. Cases: This paper reports 3 cases of plasma cell mastitis who received Xiaojin Pill with natural musk treatment. Patients were successfully treated after accepting Xiaojin Pill with natural musk for several weeks.

scholarly journals A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning

2021 ◽  
Author(s):  
Wing Keung Cheung ◽  
Robert Bell ◽  
Arjun Nair ◽  
Leon Menezies ◽  
Riyaz Patel ◽  
...  
Keyword(s):  
Deep Learning ◽  
Coronary Arteries ◽  
Automatic Segmentation ◽  
Three Dimensional ◽  
Regions Of Interest ◽  
Dice Similarity Coefficient ◽  
Processing Unit ◽  
Two Dimensional ◽  
Computed Tomography Images ◽  
Graphical Processing

AbstractA fully automatic two-dimensional Unet model is proposed to segment aorta and coronary arteries in computed tomography images. Two models are trained to segment two regions of interest, (1) the aorta and the coronary arteries or (2) the coronary arteries alone. Our method achieves 91.20% and 88.80% dice similarity coefficient accuracy on regions of interest 1 and 2 respectively. Compared with a semi-automatic segmentation method, our model performs better when segmenting the coronary arteries alone. The performance of the proposed method is comparable to existing published two-dimensional or three-dimensional deep learning models. Furthermore, the algorithmic and graphical processing unit memory efficiencies are maintained such that the model can be deployed within hospital computer networks where graphical processing units are typically not available.

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