85 datasets found

A public dataset for COVID-19 lesion segmentation in CT scans.

Daily exchange rate data for G10 currencies prior to the onset of COVID-19 pandemic to train LSTM models.

COVID-19 x-ray image dataset including 392 COVID-19 postero-anterior chest x-ray images annotated with severity level.

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 TREC-COVID dataset is a collection of journal articles related to COVID-19 and other coronaviruses, with human annotators providing relevancy judgments at the end of each...

The proposed scheme uses IoT based health monitoring and CNN based object detection methods to detect social distancing violations and track exposed or infected people.

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...

The dataset used for training and testing the quantum style-based GAN model for predicting spike protein variation structure of COVID-19 epidemic strains.

The dataset used for training and testing the quantum style-based GAN model for predicting spike protein variation structure of COVID-19 epidemic strains.

The dataset is used to demonstrate the application of the Computational Hypergraph Discovery (CHD) framework to recover functional dependencies from COVID-19 open data.

COVID-19 research challenge dataset

COVID-19 CT dataset for automated diagnosis and severity assessment of COVID-19

The CNN-based transfer learning–Bilstm network dataset is a dataset of COVID-19 images for image classification.

The COVID-ResNet dataset is a dataset of COVID-19 images for image classification.

The COVID-19 features on CXR dataset is a dataset of COVID-19 images for image classification.

The COVID-Net dataset is a dataset of COVID-19 images for image classification.

The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification.

BIMCV-COVID19 Dataset

The COVID-19 disinformation categories corpus, which provides manual annotation of debunked COVID-19 disinformation into 10 semantic categories.

A dataset of 88 long COVID patients used for independent qualitative evaluation and analysis.