A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images [0.03%]
基于混合深度神经网络的COVID肺炎病变区域分割方法研究
T Vijayanandh,A Shenbagavalli
T Vijayanandh
Nowadays, COVID severity prediction has attracted widely in medical research because of the disease severity. Hence, the image processing application is also utilized to analyze COVID severity identification using lungs X-ray images. Thus, ...
Baijnath Kaushik,Akshma Chadha,Reya Sharma
Baijnath Kaushik
COVID-19 has developed as a worldwide pandemic that needs ways to be detected. It is a communicable disease and is spreading widely. Deep learning and transfer learning methods have achieved promising results and performance for the detecti...
Salvador Contreras Hernández,María Patricia Tzili Cruz,José Martín Espínola Sánchez et al.
Salvador Contreras Hernández et al.
The COVID-19 pandemic impacted the mood of the people, and this was evident on social networks. These common user publications are a source of information to measure the population's opinion on social phenomena. In particular, the Twitter n...
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net [0.03%]
基于InceptionV3和U-Net的卷积神经网络在X射线图像中检测COVID-19的应用
Aman Gupta,Shashank Mishra,Sourav Chandan Sahu et al.
Aman Gupta et al.
COVID-19 has expanded overall across the globe after its initial cases were discovered in December 2019 in Wuhan-China. Because the virus has impacted people's health worldwide, its fast identification is essential for preventing disease sp...
GUI Enabled Optimized Approach of CNN for Automatic Diagnosis of COVID-19 Using Radiograph Images [0.03%]
基于CNN的GUI使能优化方法用于COVID-19的自动诊断
Chalapathiraju Kanumuri,Renu Madhavi Chodavarapu
Chalapathiraju Kanumuri
World Health Organization (WHO) proclaimed the Corona virus (COVID-19) as a pandemic, since it contaminated billions of individuals and killed lakhs. The spread along with the severity of the disease plays a key role in early detection and ...
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis [0.03%]
COVID-19诊断中处理大数据分析的系统文献回顾和未来展望
Nagamani Tenali,Gatram Rama Mohan Babu
Nagamani Tenali
In today's digital world, information is growing along with the expansion of Internet usage worldwide. As a consequence, bulk of data is generated constantly which is known to be "Big Data". One of the most evolving technologies in twenty-f...
Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey [0.03%]
基于医学图像的新型冠状病毒肺炎检测深度卷积神经网络研究进展综述
Rana Khattab,Islam R Abdelmaksoud,Samir Abdelrazek
Rana Khattab
Coronavirus Disease 2019 (COVID-19), which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2), surprised the world in December 2019 and has threatened the lives of millions of people. Countries all over the world clos...
Sven Groppe
Sven Groppe
A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach [0.03%]
基于观察的机器学习方法的多维COVID-19贫困决定因素比较分析
Sandeep Kumar Satapathy,Shreyaa Saravanan,Shruti Mishra et al.
Sandeep Kumar Satapathy et al.
Poverty is a glaring issue in the twenty-first century, even after concerted efforts of organizations to eliminate the same. Predicting poverty using machine learning can offer practical models for facilitating the process of elimination of...
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic [0.03%]
用于预测流行病期间公共场所个体间社交距离的优化深度学习方法
Santosh Kumar Sahoo,G Palai,Baraa Riyadh Altahan et al.
Santosh Kumar Sahoo et al.
Social distancing is considered as the most effective prevention techniques for combatting pandemic like Covid-19. It is observed in several places where these norms and conditions have been violated by most of the public though the same ha...