COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
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 …
[HTML][HTML] Monkeypox virus detection using pre-trained deep learning-based approaches
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
[HTML][HTML] Covid-transformer: Interpretable covid-19 detection using vision transformer for healthcare
In the recent pandemic, accurate and rapid testing of patients remained a critical task in the
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
[HTML][HTML] Fruit classification using attention-based MobileNetV2 for industrial applications
Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …
However, these methods are with heavy-weight architectures in nature, and hence require a …
Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets
COVID‐19 has claimed several human lives to this date. People are dying not only because
of physical infection of the virus but also because of mental illness, which is linked to …
of physical infection of the virus but also because of mental illness, which is linked to …
[HTML][HTML] Detection of pneumonia from chest X-ray images utilizing mobilenet model
Pneumonia has been directly responsible for a huge number of deaths all across the globe.
Pneumonia shares visual features with other respiratory diseases, such as tuberculosis …
Pneumonia shares visual features with other respiratory diseases, such as tuberculosis …
[HTML][HTML] COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …