Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life
of all human beings, it is of vital importance to achieve early detection of COVID-19 among …
of all human beings, it is of vital importance to achieve early detection of COVID-19 among …
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
Medical imaging refers to visualization techniques to provide valuable information about the
internal structures of the human body for clinical applications, diagnosis, treatment, and …
internal structures of the human body for clinical applications, diagnosis, treatment, and …
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
KM Sunnetci, A Alkan - Expert Systems with Applications, 2023 - Elsevier
The COVID-19 pandemic has been affecting the world since December 2019, and
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
Adaptive UNet-based lung segmentation and ensemble learning with CNN-based deep features for automated COVID-19 diagnosis
A Das - Multimedia Tools and Applications, 2022 - Springer
COVID-19 disease is a major health calamity in twentieth century, in which the infection is
spreading at the global level. Developing countries like Bangladesh, India, and others are …
spreading at the global level. Developing countries like Bangladesh, India, and others are …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
X-ray image based COVID-19 detection using evolutionary deep learning approach
SMJ Jalali, M Ahmadian, S Ahmadian… - Expert Systems with …, 2022 - Elsevier
Radiological methodologies, such as chest x-rays and CT, are widely employed to help
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
[HTML][HTML] COVID-19 detection using chest X-ray images based on a developed deep neural network
Aim Currently, a new coronavirus called COVID-19 is the biggest challenge of the human at
21st century. Now, the spread of this virus is such that mortality has risen strongly in all cities …
21st century. Now, the spread of this virus is such that mortality has risen strongly in all cities …