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

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
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article

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

Deepa Krishnaswamy, Ron Kikinis, Steve Pieper, Andriy Fedorov
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
Radiomics and Machine Learning in Medical Imaging
article

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

Deepa Krishnaswamy, Ron Kikinis, Steve Pieper, Andriy Fedorov
article en

Abstract

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.

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
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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