Resource Type: Data
RAD-ChestCT is a dataset of 36K chest CT scans from 20K unique patients, which at the time of release was the largest in the world for volumetric medical imaging datasets. Every case is annotated with a matrix of 84 abnormality labels x 52 location labels. This repository contains an initial release of 3,630 chest CT scans, approximately 10% of the dataset. This dataset provides a valuable tool to the machine learning and medical imaging research communities.