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
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COVID-19 Image Repository This project aims to create an anonymized data set of COVID-19 cases with a focus on radiological imaging. This includes images with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data. ...
Blog:https://blog.cloudfactory.com/annotated-chest-x-ray-dataset-for-covid-19-research I used the notebook NB.ipynb to transform the ground truth to work for my setting. It consisted of ~6000 images with labels when I did this project:Healthy, Pneumonia, and COVID-19In this work I ha...
Early detection of COVID-19 positive patients and timely isolation of the patients are essential to prevent its spread. Chest X-ray images of COVID-19 patients often show the characteristics of multifocality, bilateral hairy glass turbidity, patchy network turbidity, etc. It is crucial to ...
In our COVID-19 detection model, DL techniques are employed to classify chest X-ray scans into two categories: COVID-19 positive and COVID-19 negative, based on the features learned through the learning process [22]. The core architecture of our model consists of convolutional layers ...
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For the COVID-19 Severity detection, the metadata of the patient's CT images is also needed. So here we used two publicly available data set which was really proven. SARS-CoV-2 CT-scan dataset The SARS-CoV-2 CT-scan dataset [19] contains both positive and negative data; the data is...
Reverse Transcription-Polymerase Chain Reaction (RT-PCR) is the gold-standard test for the diagnosis of COVID-19. However, the RT-PCR test suffers from high false-negative rates and delayed results. Medical imaging, particularly Computed Tomography (CT) scans, has been recommended by the World ...
images of pneumonia and normal classes than the COVID-19 class, the general accuracy would become very high, not the COVID-19 detection accuracy, which is not our goal because the main purpose here is to achieve good results in detecting COVID-19 cases and not detecting false COVID-19 ...