S Albahli, W Albattah - Journal of X-ray Science and …, 2020 - content.iospress.com
OBJECTIVE: This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early …
S Agrawal, V Honnakasturi, M Nara, N Patil - SN Computer Science, 2023 - Springer
COVID-19 has been a global pandemic. Flattening the curve requires intensive testing, and the world has been facing a shortage of testing equipment and medical personnel with …
H Nasiri, SA Alavi - Computational intelligence and …, 2022 - Wiley Online Library
Background and Objective. The new coronavirus disease (known as COVID‐19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and …
Countries the world over have focused on protecting human health and combatting the COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many …
M Gour, S Jain - arXiv preprint arXiv:2006.13817, 2020 - arxiv.org
Automatic and rapid screening of COVID-19 from the chest X-ray images has become an urgent need in this pandemic situation of SARS-CoV-2 worldwide in 2020. However …
Coronavirus disease (COVID-19) is an illness caused by a novel coronavirus family. One of the practical examinations for COVID-19 is chest radiography. COVID-19 infected patients …
ME Sahin - Biomedical Signal Processing and Control, 2022 - Elsevier
Abstract Today, 2019 Coronavirus (COVID-19) infections are a major health concern worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
D Wang, J Mo, G Zhou, L Xu, Y Liu - PloS one, 2020 - journals.plos.org
A newly emerged coronavirus (COVID-19) seriously threatens human life and health worldwide. In coping and fighting against COVID-19, the most critical step is to effectively …
D Yang, C Martinez, L Visuña, H Khandhar, C Bhatt… - Scientific Reports, 2021 - nature.com
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 …