RIDER Lung CT Dataset is a tumor variability dataset used to evaluate CT scan images of patients with non-small cell lung cancer, which contains 15,419 images. The dataset contains information on 32 patients with non-small cell lung cancer, each of whom underwent two chest CT scans within 15 minutes using the same protocol. Radiologists independently measured the maximum diameter of each tumor in the image, and computer software was used to assist in the measurement, and consistency correlation coefficients and Bland-Altman plots were used to assist in the evaluation.

This dataset was released by the Cancer Imaging Archive (TCIA) in 2015. The related paper is “Data From RIDER – Lung CT: The Cancer Imaging Archive”.