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 …
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset
This paper aims to propose a high-speed and accurate fully-automated method to detect
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …
Contrastive cross-site learning with redesigned net for COVID-19 CT classification
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health
crisis spreading hundreds of countries. With the continuous growth of new infections …
crisis spreading hundreds of countries. With the continuous growth of new infections …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
COVID-19 CT image recognition algorithm based on transformer and CNN
X Fan, X Feng, Y Dong, H Hou - Displays, 2022 - Elsevier
Novel corona virus pneumonia (COVID-19) broke out in 2019, which had a great impact on
the development of world economy and people's lives. As a new mainstream image …
the development of world economy and people's lives. As a new mainstream image …
Densely connected convolutional networks-based COVID-19 screening model
The extensively utilized tool to detect novel coronavirus (COVID-19) is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical …
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …
work has shown how audio (including cough, breathing and voice) based approaches can …
Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data
R Alizadehsani, D Sharifrazi, NH Izadi… - ACM Transactions on …, 2021 - dl.acm.org
The new coronavirus has caused more than one million deaths and continues to spread
rapidly. This virus targets the lungs, causing respiratory distress which can be mild or …
rapidly. This virus targets the lungs, causing respiratory distress which can be mild or …