The Cancer Imaging Data Commons: Paving the Way for Open Science
Motivation: Reproducible science in image analysis requires data sharing. The Imaging Data Commons (IDC) aims to address this need by providing a centralized platform for cancer image data. Goal(s): To introduce the MR community to IDC and its capabilities. Approach: IDC collects, harmonizes, and curates MR image data from diverse sources, making it accessible through user-friendly interfaces and APIs. Results: IDC hosts a diverse collection of MR datasets, enabling researchers to explore, analyze, and download data for various research purposes. Impact: IDC accelerates cancer research by promoting data sharing and reproducibility, empowering researchers to collaborate, develop innovative algorithms, and improve patient care.
Authors
- Deepa Krishnaswamy (ORCID: https://orcid.org/0000-0002-3235-1222)
- Ron Kikinis (ORCID: https://orcid.org/0000-0001-7227-7058)
- Steve Pieper (ORCID: https://orcid.org/0000-0003-4193-9578)
- Andriy Fedorov (ORCID: https://orcid.org/0000-0003-4806-9413)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0940
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00