The second part (COVID-CTset.zip) contains the whole dataset for each patient. Each patient has three folders (SR_2, SR_3, SR_4), which each folder show one sequence of the lung HRCT scan images of that patient (One time the patient's lung opens and closes). Each of these folders...
Our goal is to provide a large dataset of COVID-19, Normal, and CAP CT slices together with their corresponding metadata. Some of the datasets consist of categorized CT slices, and some include CT volumes with annotated lesion slices. Therefore, we used the slice-level annotations to extract...
To address the COVID-19 classification task using X-ray images, Apostolopoulos et al.8employed five pre-trained DL models, including MobileNetV2, VGG19, Inception, Xception, and InceptionResNetV2, applied to two testing datasets obtained from GitHub and Kaggle. The first testing dataset had 142...
COVIDx CT-3: A Large-scale, Multinational,Open-Source Benchmark Dataset for Computer-aidedCOVID-19 Screening from Chest CT ImagesHayden Gunraj 1,2 , Tia Tuinstra 1,2 , Alexander Wong 1,2,3,41 Vision and Image Processing Lab, University of Waterloo2 Department of Systems Design Engineering...
The data set was collected from four different sources and consisted of 594 COVID-19, 1345 viral pneumonia, and 1341 normal X-ray images. Models are built using Tensorflow and Keras Libraries with Python programming language. Preprocessing was performed on the dataset by applying resizing, ...
Because X-ray images are an easily accessible, fast, and inexpensive method, they are widely used worldwide to diagnose COVID-19. This study tried detecting COVID-19 from X-ray images using pre-trained VGG16, VGG19, InceptionV3, and Resnet50 CNN architectures and modified versions of ...
Here, we investigate how online emotional responses change during the large-scale COVID-19 vaccination campaign with respect to a baseline in which no specific contentious topic dominates. We show that the online discussions during the pandemic generate a vast spectrum of emotional response compared ...
The emergence of highly divergent variants of SARS-CoV-2 has been a defining feature of the COVID-19 pandemic. Although the evolutionary origins of these variants are still a matter of speculation, multiple pieces of evidence point to chronic persistent infections as their most likely source5,7...
f, PANDA can detect early-stage PDACs and metastatic cancer that was initially misdetected by the radiologists on chest non-contrast CT (COVID-19 prevention CT). Full size image Without tuning on any chest CT scans, PANDA achieved an AUC of 0.979 (95% CI 0.962–0.993), a sensitivity of...
Our study uses 24 waves of the survey Establishments in the COVID-19 crisis (BeCOVID), a high-frequency dataset collected at monthly intervals by the Institute for Employment Research during the COVID-19 pandemic, to investigate the behaviour of establishments with respect to the dynamics of th...