[PDF][PDF] Detection of coronavirus disease (covid-19) based on deep features

PK Sethy, SK Behera - 2020 - pdfs.semanticscholar.org
The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner.
The coronavirus spread so quickly between people and approaches 100,000 people …

[HTML][HTML] A deep learning approach to detect COVID-19 patients from chest X-ray images

KF Haque, A Abdelgawad - Ai, 2020 - mdpi.com
Deep Learning has improved multi-fold in recent years and it has been playing a great role
in image classification which also includes medical imaging. Convolutional Neural Networks …

[HTML][HTML] COVID-19 detection using deep learning algorithm on chest X-ray images

S Akter, FMJM Shamrat, S Chakraborty, A Karim… - Biology, 2021 - mdpi.com
Simple Summary The study proposes an automated deep learning-based classification
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …

[HTML][HTML] Diagnostic approach for accurate diagnosis of COVID-19 employing deep learning and transfer learning techniques through chest X-ray images clinical data …

AU Haq, JP Li, S Ahmad, S Khan, MA Alshara… - Sensors, 2021 - mdpi.com
COVID-19 is a transferable disease that is also a leading cause of death for a large number
of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and …

Detection of COVID-19 using deep learning techniques and classification methods

Ç Oğuz, M Yağanoğlu - Information Processing & Management, 2022 - Elsevier
Since the patient is not quarantined during the conclusion of the Polymerase Chain
Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In …

X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)

S Thakur, A Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Covid-19 (Coronavirus Disease-2019) is the most recent coronavirus-related
disease that has been announced as a pandemic by the World Health Organization (WHO) …

Deep learning approaches for COVID-19 detection based on chest X-ray images

AM Ismael, A Şengür - Expert Systems with Applications, 2021 - Elsevier
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …

COVID-19: Automatic detection from X-ray images by utilizing deep learning methods

B Nigam, A Nigam, R Jain, S Dodia, N Arora… - Expert Systems with …, 2021 - Elsevier
In recent months, a novel virus named Coronavirus has emerged to become a pandemic.
The virus is spreading not only humans, but it is also affecting animals. First ever case of …

A novel deep convolutional neural network model for COVID-19 disease detection

E Irmak - 2020 Medical Technologies Congress (TIPTEKNO), 2020 - ieeexplore.ieee.org
The novel coronavirus, generally known as COVID19, is a new type of coronavirus which
first appeared in Wuhan Province of China in December 2019. The biggest impact of this …

[HTML][HTML] A survey on deep learning in COVID-19 diagnosis

X Han, Z Hu, S Wang, Y Zhang - Journal of imaging, 2022 - mdpi.com
According to the World Health Organization statistics, as of 25 October 2022, there have
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …