Concatenation of pre-trained convolutional neural networks for enhanced COVID-19 screening using transfer learning technique
Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
Transfer learning to detect COVID‐19 automatically from X‐Ray images using convolutional neural networks
MM Taresh, N Zhu, TAA Ali… - … Journal of Biomedical …, 2021 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) is a contagious disease that has caused
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
NA Baghdadi, A Malki, SF Abdelaliem… - Computers in biology …, 2022 - Elsevier
Researchers have developed more intelligent, highly responsive, and efficient detection
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …
of its international dissemination. COVID-19 is the world's most serious health, economic …
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
The COVID-19 epidemic has a catastrophic impact on global well-being and public health.
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
Classifier fusion for detection of COVID-19 from CT scans
Abstract The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
[PDF][PDF] COVID-19 Detection on x-ray images using a combining mechanism of pre-trained CNNs
The COVID-19 infection was sparked by the severe acute respiratory syndrome SARS-CoV-
2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of …
2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of …
[HTML][HTML] Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images
S Sheykhivand, Z Mousavi, S Mojtahedi… - Alexandria Engineering …, 2021 - Elsevier
Abstract The novel coronavirus (COVID-19) could be described as the greatest human
challenge of the 21st century. The development and transmission of the disease have …
challenge of the 21st century. The development and transmission of the disease have …
Detection of COVID-19 using transfer learning and Grad-CAM visualization on indigenously collected X-ray dataset
The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives
since then. More than three million lives have been engulfed by this newest member of the …
since then. More than three million lives have been engulfed by this newest member of the …