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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 …
The Role of generative adversarial network in medical image analysis: An in-depth survey
M AlAmir, M AlGhamdi - ACM Computing Surveys, 2022 - dl.acm.org
A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …
the field of artificial intelligence, and its superior data generation capability has garnered …
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 …
[HTML][HTML] COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
Early detection and diagnosis are critical factors to control the COVID-19 spreading. A
number of deep learning-based methodologies have been recently proposed for COVID-19 …
number of deep learning-based methodologies have been recently proposed for COVID-19 …
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
Generative adversarial networks (GANs) in medical imaging: advancements, applications and challenges
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist
of a generator and a discriminator trained simultaneously through adversarial training. GANs …
of a generator and a discriminator trained simultaneously through adversarial training. GANs …
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
A bi-stage feature selection approach for COVID-19 prediction using chest CT images
The rapid spread of coronavirus disease has become an example of the worst disruptive
disasters of the century around the globe. To fight against the spread of this virus, clinical …
disasters of the century around the globe. To fight against the spread of this virus, clinical …
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
The world has been undergoing the most ever unprecedented circumstances caused by the
coronavirus pandemic, which is having a devastating global effect in different aspects of life …
coronavirus pandemic, which is having a devastating global effect in different aspects of life …
Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data
The novel discovered disease coronavirus popularly known as COVID-19 is caused due to
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic …
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic …