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 ensemble of global and local-attention based convolutional neural networks for COVID-19 diagnosis on chest X-ray images
The recent Coronavirus Disease 2019 (COVID-19) pandemic has put a tremendous burden
on global health systems. Medical practitioners are under great pressure for reliable …
on global health systems. Medical practitioners are under great pressure for reliable …
Deep Learning and Federated Learning for Screening COVID-19: A Review
Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
A review on detection of COVID-19 patients using deep learning techniques
Applications of machine learning in healthcare sector have been very useful, of this
automated diagnosis of diseases has more importance than other applications because it …
automated diagnosis of diseases has more importance than other applications because it …
Task-based assessment for radiation dose optimization in CT abdominal examinations: A phantom study
Abstract Recent advancements in Computed Tomography (CT) imaging technology have
significantly enhanced healthcare delivery. However, public concern regarding the safety …
significantly enhanced healthcare delivery. However, public concern regarding the safety …
Lightweight method for the rapid diagnosis of coronavirus disease 2019 from chest X-ray images using deep learning technique
A rapid screening method is required for screening coronavirus disease 2019 (COVID-19)
patients. Therefore, we proposed a model based on DenseNet-201 to detect and …
patients. Therefore, we proposed a model based on DenseNet-201 to detect and …
KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN
MM Taresh, N Zhu, TAA Ali, M Alghaili… - PeerJ Computer …, 2021 - peerj.com
The emergence of the novel coronavirus pneumonia (COVID-19) pandemic at the end of
2019 led to worldwide chaos. However, the world breathed a sigh of relief when a few …
2019 led to worldwide chaos. However, the world breathed a sigh of relief when a few …
A Review of Computer Aided Diagnosis Model for the COVID-19 De-tection using Chest X-Ray Images
J Singh - Mathematical Statistician and Engineering Applications, 2022 - philstat.org
Many CAD systems have been developed by various authors using the machine or deep
learning methods. The goal of such systems is to identify the patients with COVID-19 …
learning methods. The goal of such systems is to identify the patients with COVID-19 …
[PDF][PDF] Applications of Artificial Intelligence in Battling Against Covid-19: A
MH Tayarani-N - researchgate.net
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 …