Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …
widely used in our everyday lives in a number of ways. They have also been instrumental in …
Fuzzy system based medical image processing for brain disease prediction
M Hu, Y Zhong, S Xie, H Lv, Z Lv - Frontiers in Neuroscience, 2021 - frontiersin.org
The present work aims to explore the performance of fuzzy system-based medical image
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
A deep learning approach to detect Covid-19 coronavirus with X-Ray images
Rapid and accurate detection of COVID-19 coronavirus is necessity of time to prevent and
control of this pandemic by timely quarantine and medical treatment in absence of any …
control of this pandemic by timely quarantine and medical treatment in absence of any …
Medical image-based detection of COVID-19 using deep convolution neural networks
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
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 …
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection
Abstract The COVID-19 (Coronavirus disease 2019) pandemic has become a major global
threat to human health and well-being. Thus, the development of computer-aided detection …
threat to human health and well-being. Thus, the development of computer-aided detection …