If you’re looking for cancer-related computed tomography (CT) data, you’ll want to see what’s new in NCI’s Imaging Data Commons (IDC). Thanks to recent breakthroughs in artificial intelligence (AI) and cloud computing, the IDC team is streamlining medical image curation and extracting features to make your work easier, even if you don’t have imaging expertise.

What does this mean for you as a scientist? With the latest IDC data release, you now have access to the measurements and segmentations of nearly 10 million structures from 125,000 CT images in the National Lung Screening Trial collection. Each of the segmented structures includes approximately 20 radiomics features (such as volume, surface area, flatness, and CT signal intensity).

You can explore the data set via the IDC Portal and download the publicly available data directly from IDC’s cloud buckets.

Dr. Andrey Fedorov is a technical lead for NCI’s IDC, a researcher at Brigham and Women's Hospital, and an associate professor in radiology at Harvard Medical School. He notes that “without the power of the cloud, we wouldn’t have been able to process this large data set and share the results with the community.”

For more information, or if you have any questions about this data set, join the IDC Community Office Hours every Tuesday 4:30–5:30 p.m., ET, and Wednesday 10:30–11:30 a.m., ET, via Google Meet.