[HTML][HTML] Artificial intelligence for COVID-19: a systematic review
L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
Abstract Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly
spreading around the globe. As a result, rapid and precise identification of COVID-19 …
spreading around the globe. As a result, rapid and precise identification of COVID-19 …
Artificial intelligence‐based classification of chest X‐ray images into COVID‐19 and other infectious diseases
The ongoing pandemic of coronavirus disease 2019 (COVID‐19) has led to global health
and healthcare crisis, apart from the tremendous socioeconomic effects. One of the …
and healthcare crisis, apart from the tremendous socioeconomic effects. One of the …
[PDF][PDF] Design of accurate classification of COVID-19 disease in X-ray images using deep learning approach
JIZ Chen - Journal of ISMAC, 2021 - scholar.archive.org
COVID-19 appears to be having a devastating influence on world health and wellbeing.
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
A Alhudhaif, K Polat, O Karaman - Expert Systems with Applications, 2021 - Elsevier
X-ray units have become one of the most advantageous candidates for triaging the new
Coronavirus disease COVID-19 infected patients thanks to its relatively low radiation dose …
Coronavirus disease COVID-19 infected patients thanks to its relatively low radiation dose …
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
XCOVNet: chest X-ray image classification for COVID-19 early detection using convolutional neural networks
COVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a
contagious disease that easily spreads from one person in direct contact to another …
contagious disease that easily spreads from one person in direct contact to another …