Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
[HTML][HTML] PDAtt-Unet: Pyramid dual-decoder attention Unet for Covid-19 infection segmentation from CT-scans
Since the emergence of the Covid-19 pandemic in late 2019, medical imaging has been
widely used to analyze this disease. Indeed, CT-scans of the lungs can help diagnose …
widely used to analyze this disease. Indeed, CT-scans of the lungs can help diagnose …
Deep learning models-based CT-scan image classification for automated screening of COVID-19
COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …
experiences of individuals across the planet. It is a highly contagious respiratory disease …
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 …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Abstract Coronavirus Disease 2019 (COVID-19) still presents a pandemic trend globally.
Detecting infected individuals and analyzing their status can provide patients with proper …
Detecting infected individuals and analyzing their status can provide patients with proper …
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images
G Srivastava, A Chauhan, M Jangid… - … Signal Processing and …, 2022 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
[HTML][HTML] A Deep learning based data augmentation method to improve COVID-19 detection from medical imaging
The worldwide spread of the Coronavirus pandemic and its huge impact challenged medical
and research communities to explore novel approaches for medical diagnosis from medical …
and research communities to explore novel approaches for medical diagnosis from medical …