Computer vision for COVID-19 control: a survey
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an
immense threat to the human population. Computer Vision, as a subfield of Artificial …
immense threat to the human population. Computer Vision, as a subfield of Artificial …
COVID-19 diagnosis-based deep learning approaches for COVIDx dataset: A preliminary survey
This chapter presents a comprehensive review of the utilization of deep learning (DL)
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
COVID-DeepNet: hybrid multimodal deep learning system for improving COVID-19 pneumonia detection in chest X-ray images
AS Al-Waisy, MA Mohammed… - Computers …, 2021 - scholars.cityu.edu.hk
Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
Artificial intelligence and blockchain enabled smart healthcare system for monitoring and detection of covid-19 in biomedical images
Millions of individuals around the world have been impacted by the ongoing coronavirus
outbreak, known as the COVID-19 pandemic. Blockchain, Artificial Intelligence (AI), and …
outbreak, known as the COVID-19 pandemic. Blockchain, Artificial Intelligence (AI), and …
[HTML][HTML] Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
Abstract The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a
devastating effect on the health and well-being of the global population. A critical step in the …
devastating effect on the health and well-being of the global population. A critical step in the …
[HTML][HTML] COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
[HTML][HTML] A comprehensive survey of COVID-19 detection using medical images
The outbreak of the Coronavirus disease 2019 (COVID-19) caused the death of a large
number of people and declared as a pandemic by the World Health Organization. Millions of …
number of people and declared as a pandemic by the World Health Organization. Millions of …
[HTML][HTML] A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks
TD Pham - Scientific reports, 2020 - nature.com
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19.
Although computed tomography (CT) scans show a variety of signs caused by the viral …
Although computed tomography (CT) scans show a variety of signs caused by the viral …
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation
Abstract Background and Objective: Coronavirus disease 2019 (COVID-19) is a highly
contagious virus spreading all around the world. Deep learning has been adopted as an …
contagious virus spreading all around the world. Deep learning has been adopted as an …
[HTML][HTML] COVID-19 infection map generation and detection from chest X-ray images
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …