14 datasets found

The proposed model uses two publicly available annotated COVID-19 CT image datasets: COVID-19 CT provided by Zhao et al. (Zhao et al., 2020) and a dataset provided by the...

The dataset used in this study for COVID-19 detection, containing laboratory parameters and chest x-ray images.

A real COVID-19 dataset containing 666 3D chest CT scans acquired from 242 patients who are confirmed with COVID-19.

The COVOC dataset is used to evaluate the performance of the Lung Swapping Autoencoder (LSAE) model on COVID-19 outcome prediction. The dataset consists of 340 CXRs from 327...

The MIA-COVID-19 dataset contains 3D Covid-19 CT-scan images series from patients with COVID-19 and patients without COVID-19.

COVID-CT dataset that has been used in this study is publicly available. There are 349 images of COVID-19 collected from 216 patients. The non-COVID-19 data contains 397 samples.

COVIDx dataset, which is an ongoing project, i.e., the number of available examples may change over time. The snapshot of COVIDx used in this paper consists of 8851 CXR images...

COVID-19-20_v2

COVID-19 CT scans

COVID-19 CT images of the lungs, ground glass turbidity is the most common finding that requires specialist diagnosis.

COVID-19 pandemic has spread rapidly and caused a shortage of global medical resources. The efficiency of COVID-19 diagnosis has become highly significant.

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

BIMCV-COVID19 Dataset

The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.