NCI Imaging Data Commons Hosts 2022 RSNA Session: Towards Transparency and Reproducibility in Imaging AI
Are you attending the 2022 Radiological Society of North America Annual Meeting virtually or in person? If so, check out the on-demand session from Harvard Medical School’s Dr. Andrey Fedorov. He’ll talk about:
- the scope and status of NCI’s Imaging Data Commons (IDC) (e.g., new features of the image viewers and IDC portal).
- accompanying educational resources (e.g., interactive notebooks with reproducible AI workflows applied to the data within IDC).
- plans for future IDC development.
Don’t miss Dr. Fedorov’s poster, which is available for viewing as well.
NCI’s IDC is a cloud-based repository of publicly available cancer imaging data co-located with the analysis and exploration tools and resources. IDC is part of the NCI Cancer Research Data Commons (CRDC) infrastructure that provides secure access to a large, comprehensive, and expanding collection of cancer research data.
The IDC portal enables exploration and visualization of data and cohort building. The IDC hosts over 40 TB of public radiology and digital pathology images and image-derived data.
Dr. Fedorov joined the Surgical Planning Laboratory, in the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, after obtaining his Ph.D. in computer science from The College of William and Mary. His research is in translation and validation of medical image computing technology in clinical research applications, with focus on quantitative imaging, imaging informatics, and image-guided interventional procedures.