8 datasets found

The dataset used in the paper is a chest CT scans dataset, which consists of 100 patients.

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

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.

Development and characterization of a chest CT atlas.

A separate dataset of 3D chest CT volumes and radiology reports, used for external evaluation of the proposed BIUD model.

A large dataset of 3D chest CT volumes and corresponding radiology reports, used for training and testing the proposed BIUD model.