COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
A survey on applications of artificial intelligence in fighting against COVID-19
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide,
leading to a global outbreak. Most governments, enterprises, and scientific research …
leading to a global outbreak. Most governments, enterprises, and scientific research …
Federated learning for COVID-19 screening from Chest X-ray images
Today, the whole world is facing a great medical disaster that affects the health and lives of
the people: the COVID-19 disease, colloquially known as the Corona virus. Deep learning is …
the people: the COVID-19 disease, colloquially known as the Corona virus. Deep learning is …
Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification
The worldwide spread of coronavirus disease (COVID-19) has become a threat to global
public health. It is of great importance to rapidly and accurately screen and distinguish …
public health. It is of great importance to rapidly and accurately screen and distinguish …
Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images
Segmentation of infections from CT scans is important for accurate diagnosis and follow-up
in tackling the COVID-19. Although the convolutional neural network has great potential to …
in tackling the COVID-19. Although the convolutional neural network has great potential to …
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images
AH Barshooi, A Amirkhani - Biomedical Signal Processing and Control, 2022 - Elsevier
A dangerous infectious disease of the current century, the COVID-19 has apparently
originated in a city in China and turned into a widespread pandemic within a short time. In …
originated in a city in China and turned into a widespread pandemic within a short time. In …
COVID-19: Automatic detection of the novel coronavirus disease from CT images using an optimized convolutional neural network
It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …
Artificial intelligence-driven assessment of radiological images for COVID-19
Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …
affected humans worldwide, creating a health crisis that has infected millions of lives and …