NCI Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

About this Class

The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis of biomedical imaging data. Development, validation, and continuous refinement of AI tools requires easy access to large high-quality annotated datasets, which are both representative and diverse. The NCI Imaging Data Commons (IDC) hosts large and diverse publicly available cancer image data collections.
 
Andrey Fedorov, Ph.D., is a researcher at Brigham and Women's Hospital (BWH) and Associate Professor in Radiology at Harvard Medical School.