16 datasets found

The COVID-19 Identification ResNet (CIdeR) dataset consists of 517 crowdsourced coughing and breathing audio recordings from 355 participants, of which 62 participants had tested...

A CT scan dataset about COVID-19

COVID-19 classification from CT chest images based on vision transformer models

The proposed architecture uses a CNN-based approach to detect COVID-19 from chest X-ray images. The dataset is used to train and evaluate the proposed model.

COVID-19 CT dataset for predicting COVID-19 from chest CT images using attentional convolutional network.

Chest X-ray images dataset used for COVID-19 severity classification

The dataset used in this work consists of 9 axial volumes from Radiopaedia consisting of both positive and negative COVID indications.

The dataset used in this work consists of 20 volumes from Jun et al. consisting of infections labelled by two radiologists and verified by another experienced radiologist.

The dataset used in this work consists of 29 CT volumes from two different sources of lung infection data, resulting from COVID-19.

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

BIMCV-COVID19 Dataset

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

The dataset for COVID-19 detection from X-ray images of the chest.

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