Integrated CNN and federated learning for COVID-19 detection on chest X-ray images
Z Li, X Xu, X Cao, W Liu, Y Zhang… - … /ACM Transactions on …, 2022 - ieeexplore.ieee.org
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and
safety and deep learning (DL) is expected to be the most powerful method for efficient …
safety and deep learning (DL) is expected to be the most powerful method for efficient …
DMFL_Net: A federated learning-based framework for the classification of COVID-19 from multiple chest diseases using X-rays
Coronavirus Disease 2019 (COVID-19) is still a threat to global health and safety, and it is
anticipated that deep learning (DL) will be the most effective way of detecting COVID-19 and …
anticipated that deep learning (DL) will be the most effective way of detecting COVID-19 and …
AANet: Adaptive attention network for COVID-19 detection from chest X-ray images
Z Lin, Z He, S Xie, X Wang, J Tan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role
in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from …
in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from …
Experiments of federated learning for COVID-19 chest X-ray images
AI plays an important role in COVID-19 identification. Computer vision and deep learning
techniques can assist in determining COVID-19 infection with Chest X-ray Images. However …
techniques can assist in determining COVID-19 infection with Chest X-ray Images. However …
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale
screening and epidemic control. However, the radiographic features of CXR have different …
screening and epidemic control. However, the radiographic features of CXR have different …
SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images
H Zhao, Z Fang, J Ren, C MacLellan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The pandemic of COVID-19 has become a global crisis in public health, which has led to a
massive number of deaths and severe economic degradation. To suppress the spread of …
massive number of deaths and severe economic degradation. To suppress the spread of …
Experiments of federated learning for covid-19 chest x-ray images
AI plays an important role in COVID-19 identification. Computer vision and deep learning
techniques can assist in determining COVID-19 infection with Chest X-ray Images. However …
techniques can assist in determining COVID-19 infection with Chest X-ray Images. However …
DL-CRC: deep learning-based chest radiograph classification for COVID-19 detection: a novel approach
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians
continue to seek accurate and rapid diagnosis methods in addition to virus and antibody …
continue to seek accurate and rapid diagnosis methods in addition to virus and antibody …
DisCOV: Distributed COVID-19 detection on X-ray images with edge-cloud collaboration
Currently, the world is experiencing the rapid spread of Coronavirus Disease 2019 (COVID-
19). Since the epidemic continues to take a devastating impact on the society, economy, and …
19). Since the epidemic continues to take a devastating impact on the society, economy, and …
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi …
With the recent outbreak of COVID-19, fast diagnostic testing has become one of the major
challenges due to the critical shortage of test kit. Pneumonia, a major effect of COVID-19 …
challenges due to the critical shortage of test kit. Pneumonia, a major effect of COVID-19 …