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NCI Imaging Data Commons (IDC)
The Imaging Data Commons is TCIA in the cloud, ready for large-scale model training.
Overview
The NCI Imaging Data Commons (IDC) is TCIA moved into the cloud, ready for large-scale model training. It holds a cloud-hosted, DICOM-standardised copy of TCIA and other collections, queryable with BigQuery and viewable in the browser, and it supports pathology whole-slide images as DICOM. It forms part of the Cancer Research Data Commons alongside the Genomic Data Commons, is maintained by the NCI Cancer Research Data Commons, and is linked to the National Cancer Institute (NIH). Access terms are set per collection. The resource is referenced by the roadmaps on AI in the oncology clinic and on AI in oncology from pattern readers to foundation models to agents in the workflow.
Holds
Cloud-hosted, DICOM-standardised copy of TCIA and other collections, queryable with BigQuery and viewable in the browser.
Licence
Per collection
Maintainer
NCI Cancer Research Data Commons
Dataset registry
Size: Cloud copy of TCIA and other collections in DICOM
Access: open
Consent and reuse: Per collection; queryable with BigQuery.
All datasets and the models trained on them →Similar pages
- CollectionFlatiron Health and Foundation Medicine Clinico-Genomic Database
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
- CollectionNCI CDAS: NLST and PLCO screening trial data
Shares National Cancer Institute (NIH) and the tag data.
- CollectionThe Cancer Imaging Archive (TCIA)
Shares National Cancer Institute (NIH) and the tag data.
- CollectionPathology AI benchmarks (CAMELYON, PANDA, TCGA slide tasks)
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
- TechnologyTempus multimodal models
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
- TechnologyMed-Gemini and MedLM (Google)
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
- CollectionArc Virtual Cell Atlas
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
- TechnologyForesight (generative EHR model)
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Open-source projects
All open source in oncology →Open-source projects that are the code behind this collection or publish it, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
A Python package to search and download from the NCI Imaging Data Commons, which hosts TCGA, CPTAC and other cancer imaging collections openly.