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Abstract #0940

The Cancer Imaging Data Commons: Paving the Way for Open Science

Ron Kikinis1, Deepa Krishnaswamy1, Steve Pieper2, and Andrey Fedorov1
1Radiology, Harvard Medical School, Boston, MA, United States, 2Isomics, Cambridge, MA, United States

Synopsis

Keywords: Software Tools, Software Tools, Image Archive

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.

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