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A review on deep learning in medical image analysis
Ongoing improvements in AI, particularly concerning deep learning techniques, are
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …
society as a whole. Health care organizations have responded to the first phase of the …
Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic
Various technology innovations and applications have been developed to fight the
coronavirus pandemic. The pandemic also has implications for the design, development …
coronavirus pandemic. The pandemic also has implications for the design, development …
[HTML][HTML] Machine learning-based prediction of COVID-19 diagnosis based on symptoms
Effective screening of SARS-CoV-2 enables quick and efficient diagnosis of COVID-19 and
can mitigate the burden on healthcare systems. Prediction models that combine several …
can mitigate the burden on healthcare systems. Prediction models that combine several …
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 …
Face mask detection using transfer learning of inceptionv3
The world is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-
19). Several guidelines were issued by the World Health Organization (WHO) for protection …
19). Several guidelines were issued by the World Health Organization (WHO) for protection …
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
Modality specific U-Net variants for biomedical image segmentation: a survey
With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …
neural network, residual neural network, adversarial network; U-Net architectures are most …
Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …
minimise the spread of COVID-19 in public places. The majority of governments and …
The relationship between air pollution and COVID-19-related deaths: an application to three French cities
Being heavily dependent to oil products (mainly gasoline and diesel), the French transport
sector is the main emitter of Particulate Matter (PMs) whose critical levels induce harmful …
sector is the main emitter of Particulate Matter (PMs) whose critical levels induce harmful …