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Images from the Frontlines of the COVID-19 PandemicPart of special article in Anesthesiology Images from the Frontlines of the COVID-19 Pandemicdoi:10.1097/ALN.0000000000003513Cor SlagtAnesthesiology
We integrate the chest X-ray images from three public datasets: COVID-19 Chest X-ray Dataset Initiative, ActualMed COVID-19 Chest X-ray Dataset Initiative, and COVID-19 radiography database for evaluation. Experimental results demonstrate that the proposed method improves the performance of CO...
More COVID vax contents have been discovered by 2 independent doctors who reveal disturbing microscopy images of synthetic substances.
In order to address these two problems, in this work, we propose an Efficient Deep Learning Technique for the screening of COVID-19 with a voting-based approach. In this approach, the images from a given patient are classified as group in a voting system. The approach is tested in the ...
The study aims to develop a deep-learning model that can predict the severity of COVID-19 in patients based on CT images of their lungs. Methods COVID-19 causes lung infections, and qRT-PCR is an essential tool used to detect virus infection. However, qRT-PCR is inadequate for ...
Early diagnosis of COVID-19, the new coronavirus disease, is considered important for the treatment and control of this disease. The diagnosis of COVID-19
Coronavirus disease 2019 (COVID-19) has been the world’s most threatening challenge of the twenty first century. According to the Coronavirus Resource Center of John Hopkins University (JHU)1, over 179 million confirmed cases of COVID-19, including over 3.8 million deaths, have been reported ...
Results:The proposed approach tested in RYDLS-20 achieved a macro-avg F1-Score of 0.65 using a multi-class approach and a F1-Score of 0.89 for the COVID-19 identification in the hierarchical classification scenario. Conclusions:As far as we know, the top identification rate obtained in this...
To increase the learning capability, we used data augmentation. Most of the previously done works in this area concentrate on private datasets, but we used two publicly available datasets. The first section diagnose COVID-19 from the input CT image using the transfer learning of the pre-trained...