[HTML][HTML] A review of deep learning-based detection methods for COVID-19
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
A critical review of emerging technologies for tackling COVID‐19 pandemic
E Mbunge, B Akinnuwesi, SG Fashoto… - Human behavior and …, 2021 - Wiley Online Library
COVID‐19 pandemic affects people in various ways and continues to spread globally.
Researches are ongoing to develop vaccines and traditional methods of Medicine and …
Researches are ongoing to develop vaccines and traditional methods of Medicine and …
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Presently, COVID-19 has posed a serious threat to researchers, scientists, health
professionals, and administrations around the globe from its detection to its treatment. The …
professionals, and administrations around the globe from its detection to its treatment. The …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
Diagnosis and detection of infected tissue of COVID-19 patients based on lung X-ray image using convolutional neural network approaches
COVID-19 pandemic has challenged the world science. The international community tries to
find, apply, or design novel methods for diagnosis and treatment of COVID-19 patients as …
find, apply, or design novel methods for diagnosis and treatment of COVID-19 patients as …
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
H Mukherjee, S Ghosh, A Dhar, SM Obaidullah… - Applied …, 2021 - Springer
Since December 2019, the novel COVID-19's spread rate is exponential, and AI-driven tools
are used to prevent further spreading [1]. They can help predict, screen, and diagnose …
are used to prevent further spreading [1]. They can help predict, screen, and diagnose …
Leveraging data science to combat COVID-19: A comprehensive review
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …
Coronavirus (COVID-19) classification using deep features fusion and ranking technique
COVID-19, which appeared towards the end of 2019, has become a huge threat to public
health. The solution to this threat, which is defined as a global epidemic by the World Health …
health. The solution to this threat, which is defined as a global epidemic by the World Health …
Technology and entrepreneurial marketing decisions during COVID-19
The prime concern of this study is to explore how technology influences entrepreneurial
marketing decisions during the world pandemic (COVID-19). The study uses a sample of …
marketing decisions during the world pandemic (COVID-19). The study uses a sample of …
A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …