Analysis of Varicose Veins of Lower Extremities Based on Vascular Endothelial Cell Inflammation Images and Multi-Scale Deep Learning

Zhu, Ruizong; Niu, Huiping; Yin, Ningning; Wu, Tianjiao; Zhao, Yapei

doi:10.1109/access.2019.2954708

Cited by 24 publications

(8 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They should estimate the actual pressure on the leg in this investigation as well as compare it to the normal pressure that develops in the leg region. If the pressure was lower than usual, this system uses EMG signals to find the actual value, and then the artificial pressure generator increases the pressure to compensate for the difference [9,14].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Varicose Vein Prediction and Accumulation Reduction Using Artificial Pressure Generation

Murugesan¹,

Chandramohan²,

Ponnusamy³

et al. 2022

EAS

View full text Add to dashboard Cite

In this modern world, people are growing more sedentary. This is indeed a phrase that relates to the decrease in physical activity. This decreases the overall oxygen concentration within their bodies. As a result, their artery cells are stimulated, resulting in spider veins. This mostly affects our lower limbs, but it can damage any part of our body. This condition, called "spider vein" or "varicose vein," develops whenever a vascular artery clogs, and it is often highly uncomfortable. Depending on the outcome of the investigation, the data obtained is employed to construct a predetermined database. The pre-configured information serves as a prepared lower limit. This component would analyse the information about a person's location. Seating, knee flexion, and motions throughout the duration are all information which should be examined. This accumulation data can also be processed in the Arduinomicro-controller (98dB) with the use of an EMG CMMR electrode. It is a non-invasive varicose veins diagnostic and treatment procedure that depends upon artificial vibration production. This device will contribute to both a cost effective and user friendly, there the efficiency of device compared with the several other therapeutic approaches. Patients caused by varicose veins can use this device that is healthier than the most of other clinical treatments.

show abstract

Section: Methodsmentioning

confidence: 99%

Evaluation of Varicose Vein Prediction and Accumulation Reduction Using Artificial Pressure Generation

Murugesan¹,

Chandramohan²,

Ponnusamy³

et al. 2022

EAS

View full text Add to dashboard Cite

show abstract

“…Many hospitals use AI medical image recognition systems to analyze a large amount of image and diagnostic data to achieve feature extraction of medical images [ 40 ]. These image features are used to determine whether there are lesions in the human body, and to further classify and identify the lesions to improve the efficiency and accuracy of diagnosis [ 41 ]. AI-based medical robot is a major advancement in modern clinical medicine.…”

Section: Background Informationmentioning

confidence: 99%

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Wang

Zhang

et al. 2021

IJERPH

148

View full text Add to dashboard Cite

Integration of digital technologies and public health (or digital healthcare) helps us to fight the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health crisis humanity has faced since the 1918 Influenza Pandemic. In order to better understand the digital healthcare, this work conducted a systematic and comprehensive review of digital healthcare, with the purpose of helping us combat the COVID-19 pandemic. This paper covers the background information and research overview of digital healthcare, summarizes its applications and challenges in the COVID-19 pandemic, and finally puts forward the prospects of digital healthcare. First, main concepts, key development processes, and common application scenarios of integrating digital technologies and digital healthcare were offered in the part of background information. Second, the bibliometric techniques were used to analyze the research output, geographic distribution, discipline distribution, collaboration network, and hot topics of digital healthcare before and after COVID-19 pandemic. We found that the COVID-19 pandemic has greatly accelerated research on the integration of digital technologies and healthcare. Third, application cases of China, EU and U.S using digital technologies to fight the COVID-19 pandemic were collected and analyzed. Among these digital technologies, big data, artificial intelligence, cloud computing, 5G are most effective weapons to combat the COVID-19 pandemic. Applications cases show that these technologies play an irreplaceable role in controlling the spread of the COVID-19. By comparing the application cases in these three regions, we contend that the key to China’s success in avoiding the second wave of COVID-19 pandemic is to integrate digital technologies and public health on a large scale without hesitation. Fourth, the application challenges of digital technologies in the public health field are summarized. These challenges mainly come from four aspects: data delays, data fragmentation, privacy security, and data security vulnerabilities. Finally, this study provides the future application prospects of digital healthcare. In addition, we also provide policy recommendations for other countries that use digital technology to combat COVID-19.

show abstract

“…Some studies go beyond detection and segmentation to scoring severity ( Figure 7) [173,189]. Computerized analysis of inflammation was also applied to other inflammation diseases: paranasal sinus [190,191], chronic obstructive pulmonary disease (COPD) [177,[192][193][194], celiac disease (CD) [195][196][197][198], inflammatory gastrointestinal lesions [176,199,200], varicose veins [201], myocarditis [202,203], and inflammatory brain abnormalities. 7.…”

Section: Image Analysis Of Inflammatory Diseasementioning

confidence: 99%

Molecular Imaging of Inflammatory Disease

et al. 2021

View full text Add to dashboard Cite

Inflammatory diseases include a wide variety of highly prevalent conditions with high mortality rates in severe cases ranging from cardiovascular disease, to rheumatoid arthritis, to chronic obstructive pulmonary disease, to graft vs. host disease, to a number of gastrointestinal disorders. Many diseases that are not considered inflammatory per se are associated with varying levels of inflammation. Imaging of the immune system and inflammatory response is of interest as it can give insight into disease progression and severity. Clinical imaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) are traditionally limited to the visualization of anatomical information; then, the presence or absence of an inflammatory state must be inferred from the structural abnormalities. Improvement in available contrast agents has made it possible to obtain functional information as well as anatomical. In vivo imaging of inflammation ultimately facilitates an improved accuracy of diagnostics and monitoring of patients to allow for better patient care. Highly specific molecular imaging of inflammatory biomarkers allows for earlier diagnosis to prevent irreversible damage. Advancements in imaging instruments, targeted tracers, and contrast agents represent a rapidly growing area of preclinical research with the hopes of quick translation to the clinic.

show abstract

Analysis of Varicose Veins of Lower Extremities Based on Vascular Endothelial Cell Inflammation Images and Multi-Scale Deep Learning

Cited by 24 publications

References 41 publications

Evaluation of Varicose Vein Prediction and Accumulation Reduction Using Artificial Pressure Generation

Evaluation of Varicose Vein Prediction and Accumulation Reduction Using Artificial Pressure Generation

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Molecular Imaging of Inflammatory Disease

Contact Info

Product

Resources

About