Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
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 …
Detection and analysis of COVID-19 in medical images using deep learning techniques
The main purpose of this work is to investigate and compare several deep learning
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
The new emerging COVID-19, declared a pandemic disease, has affected millions of human
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Interaction between devices, people, and the Internet has given birth to a new digital
communication model, the internet of things (IoT). The integration of smart devices to …
communication model, the internet of things (IoT). The integration of smart devices to …
[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …
individuals may develop serious illnesses, and complications may result in death. Using …
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Coronavirus (which is also known as COVID-19) is severely impacting the wellness and
lives of many across the globe. There are several methods currently to detect and monitor …
lives of many across the globe. There are several methods currently to detect and monitor …
A new deep hybrid boosted and ensemble learning-based brain tumor analysis using MRI
Brain tumor analysis is essential to the timely diagnosis and effective treatment of patients.
Tumor analysis is challenging because of tumor morphology factors like size, location …
Tumor analysis is challenging because of tumor morphology factors like size, location …
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 …
Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: a deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …