[HTML][HTML] A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
The deadly coronavirus has not just devastated the lives of millions but has put the entire
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
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 …
Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network
COVID-19 continues to have catastrophic effects on the lives of human beings throughout
the world. To combat this disease it is necessary to screen the affected patients in a fast and …
the world. To combat this disease it is necessary to screen the affected patients in a fast and …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
[HTML][HTML] Medical image processing and COVID-19: a literature review and bibliometric analysis
COVID-19 crisis has placed medical systems over the world under unprecedented and
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
B Gülmez - Annals of Operations Research, 2023 - Springer
The coronavirus first appeared in China in 2019, and the World Health Organization (WHO)
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
A deep learning approach for classification of COVID and pneumonia using DenseNet‐201
In the present paper, our model consists of deep learning approach: DenseNet201 for
detection of COVID and Pneumonia using the Chest X‐ray Images. The model is a …
detection of COVID and Pneumonia using the Chest X‐ray Images. The model is a …
[PDF][PDF] Process Management and Approaches in Blended Learning-Based Distance Learning During the Covid-19 Pandemic
M Mohzana - Al-fikrah: Jurnal Manajemen Pendidikan, 2023 - ojs.iainbatusangkar.ac.id
Management is a process that needs to be passed to achieve the desired goals in an
organizational effort. Management is carried out by carrying out several forms of activities …
organizational effort. Management is carried out by carrying out several forms of activities …
Improved COVID-19 detection with chest x-ray images using deep learning
The novel coronavirus disease, which originated in Wuhan, developed into a severe public
health problem worldwide. Immense stress in the society and health department was …
health problem worldwide. Immense stress in the society and health department was …