A crowd-sourcing experiment to accelerate quantitative imaging research.
Advances in artificial intelligence and machine learning have broad potential for cancer prevention, diagnosis, monitoring and treatment, especially when combined with images from radiology.
The Cancer Imaging Archive — a large repository of publicly available images — is a rich resource that could be used to this end, but the images in the archive often lack the necessary labels.
