The Medical Imaging Challenge Infrastructure (MedICI) promotes innovation through collaboration and harness the ingenuity of the public. It is based on the Microsoft open-source project CodaLab and integrates the specialized image software such as ePad for DICOM images and caMicroscope for digital pathology whole-slide images. Other customizations were incorporated based on user input.
ACR-NCI-NVIDIA Breast density federated learning challengeVisit Site
Deep learning for inverse problems. Spectral Computed Tomography image reconstructionVisit Site
Digital Breast Tomosynthesis Lesion Detection Challenge (DBTex)
Delineate Organs At Risk (OARs) or tumors from MR images for head and neck patientsVisit Site