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 …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
An IoT-based deep learning framework for early assessment of COVID-19
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia
F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
An IoT-enabled smart health care system for screening of COVID-19 with multi layers features fusion and selection
Advancement of smart medical sensors, devices, cloud computing, and health care
technologies is getting remarkable attention from academia and the health care industry. As …
technologies is getting remarkable attention from academia and the health care industry. As …
Integrating digital twins and deep learning for medical image analysis in the era of COVID-19
Digital twins is a virtual representation of a device and process that captures the physical
properties of the environment and operational algorithms/techniques in the context of …
properties of the environment and operational algorithms/techniques in the context of …
CXR-Net: a multitask deep learning network for explainable and accurate diagnosis of COVID-19 pneumonia from chest X-ray images
X Zhang, L Han, T Sobeih, L Han… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient
treatment. Chest X-Ray (CXR) is the first-line imaging technique for COVID-19 pneumonia …
treatment. Chest X-Ray (CXR) is the first-line imaging technique for COVID-19 pneumonia …
A sustainable deep learning-based framework for automated segmentation of COVID-19 infected regions: Using U-Net with an attention mechanism and boundary …
COVID-19 has been spreading rapidly, affecting billions of people globally, with significant
public health impacts. Biomedical imaging, such as computed tomography (CT), has …
public health impacts. Biomedical imaging, such as computed tomography (CT), has …
Hybrid PSO–SVM algorithm for Covid-19 screening and quantification
MS Sheela, CA Arun - International Journal of Information Technology, 2022 - Springer
Abstract Corona Virus Disease (COVID) 19 has shaken the earth at its root and the
devastation has increased the diagnostic burden of radiologists by large. At this crucial …
devastation has increased the diagnostic burden of radiologists by large. At this crucial …