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imaging-data-commons

Query and download cancer imaging datasets from the NCI Imaging Data Commons using the idc-index Python package.

Updated Mar 10, 2026
Search Tags:#imaging#research data#DICOM#medical imaging#cancer data#NCI IDC
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill imaging-data-commons-yezez9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/imaging-data-commons
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill imaging-data-commons-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of finding, querying, and downloading public cancer imaging data from the NCI Imaging Data Commons (IDC), enabling researchers and AI developers to access large-scale radiology and pathology datasets.

Core Features & Use Cases

  • Query Metadata: Use SQL to search for imaging data based on cancer type, modality, anatomical site, and other metadata.
  • Download DICOM Files: Efficiently download selected DICOM datasets directly from cloud storage.
  • Visualize in Browser: Preview medical images in a web browser without local software.
  • Check Licenses: Verify data licensing terms before use in research or commercial applications.
  • Use Case: A researcher needs to build a dataset of CT scans for lung cancer patients. They can use this Skill to query IDC for relevant scans, download the DICOM files, and check the data licenses.

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 in DICOM format for AI training?▼

You can download public cancer imaging DICOM files by querying the NCI Imaging Data Commons (IDC) metadata using SQL and retrieving selected datasets directly from cloud storage via the idc-index Python package.

Do I need authentication to access NCI Imaging Data Commons datasets?▼

No, you do not need authentication to access NCI Imaging Data Commons datasets. You can query metadata, download DICOM files, and verify data licenses directly without any login credentials.

How do I query medical imaging datasets by modality and anatomical site?▼

You can query medical imaging datasets by executing SQL searches against IDC metadata, filtering by cancer type, modality like CT or MR, anatomical site, and other parameters to discover relevant radiology and pathology data.

Can I preview DICOM medical images in a web browser without installing local software?▼

Yes, you can preview DICOM medical images directly in a web browser. The IDC allows browser-based visualization of queried radiology and pathology datasets without requiring any local visualization software installation.

What Python packages do I need to query and download radiology data from IDC?▼

You need the idc-index Python package to query and download IDC radiology data, along with pandas, numpy, and pydicom for handling metadata and processing the downloaded DICOM files.

How can I check data licensing terms for public cancer imaging datasets?▼

You can check data licensing terms for public cancer imaging datasets by using the IDC license verification feature, ensuring you understand usage rights before applying the data in research or commercial applications.

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