[HTML][HTML] Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
[HTML][HTML] Multimodal medical image fusion algorithm in the era of big data
In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …
organ of a patient are captured. Each of these images will represent a modality that will …
Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …
has caused immense damage to health and global well-being. Currently, there are …
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 …
Can AI help in screening viral and COVID-19 pneumonia?
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …
thousands of causalities and infected several millions of people worldwide. Any …
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
[HTML][HTML] New machine learning method for image-based diagnosis of COVID-19
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO)
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
Within the lack of chest COVID-19 X-ray dataset: a novel detection model based on GAN and deep transfer learning
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under
unprecedented and increasing pressure according to the World Health Organization (WHO) …
unprecedented and increasing pressure according to the World Health Organization (WHO) …
Sample-efficient deep learning for COVID-19 diagnosis based on CT scans
Abstract Coronavirus disease 2019 (COVID-19) has infected more than 1.3 million
individuals all over the world and caused more than 106,000 deaths. One major hurdle in …
individuals all over the world and caused more than 106,000 deaths. One major hurdle in …