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imaging-data-commons

Query and download DICOM cancer imaging data from the NCI Imaging Data Commons.

Updated Mar 10, 2026
Search Tags:#download#imaging#dicom#pathology#radiology#data commons#cancer
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill imaging-data-commons-felixboehm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/imaging-data-commons
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill imaging-data-commons-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires idc-index, and includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to vast public cancer imaging datasets from the NCI Imaging Data Commons (IDC), enabling researchers to query, download, and visualize radiology and pathology images without manual portal interaction.

Core Features & Use Cases

  • Data Discovery: Query millions of imaging studies using SQL-like syntax on rich metadata.
  • Bulk Download: Efficiently download DICOM data directly from cloud storage.
  • Metadata Exploration: Access detailed DICOM metadata and clinical data associated with imaging cohorts.
  • License & Citation Management: Easily check data licenses and generate citations for attribution.
  • Use Case: A researcher needs to build a dataset for training a lung cancer detection model. They can use this Skill to query for specific CT scans, filter by collection and modality, download the DICOM files, and obtain the necessary citations for their publication.

Quick Start

Use the imaging-data-commons skill to find and download 5 chest CT series from the NLST collection.

Frequently Asked Questions about imaging-data-commons

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I download public cancer imaging data from the NCI Imaging Data Commons?▼

You can download public cancer imaging data by using the idc-index Python package to query metadata via SQL and retrieve bulk DICOM files directly from cloud storage. No authentication is required for data access.

Can I query IDC radiology datasets using SQL-like syntax?▼

Yes, you can query IDC radiology datasets using SQL-like syntax on rich metadata to discover millions of imaging studies. This allows filtering by specific modalities like CT, MR, and PET scans.

Do I need an API key to access NCI Imaging Data Commons datasets?▼

No, you do not need an API key or any authentication to access NCI Imaging Data Commons datasets. The Skill enables programmatic data access and bulk DICOM downloads without authentication requirements.

What is the best way to filter CT scans from the NLST collection for machine learning?▼

The best way to filter CT scans is by using the idc-index package to run SQL queries on metadata, filtering specifically by the NLST collection and CT modality, then downloading the DICOM files directly from cloud storage.

How do I generate citations for downloaded IDC pathology datasets?▼

You can generate citations for downloaded IDC pathology datasets by using the built-in citation management features of the idc-index package. This ensures proper attribution and license checking for your research publications.

Does the idc-index package support downloading pathology images or only radiology data?▼

The idc-index package supports downloading both radiology and pathology images. You can discover and retrieve bulk DICOM files for various cancer imaging datasets, including CT, MR, PET, and pathology studies.

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