imaging-data-commons

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

74|5|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/dralkh/seerai --skill imaging-data-commons-dralkh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/dralkh/seerai/tree/main/skills/imaging-data-commons
Command: npx skills add https://github.com/dralkh/seerai --skill imaging-data-commons-dralkh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the friction of discovering, filtering, downloading, and citing public cancer imaging data from the National Cancer Institute Imaging Data Commons, especially when you need reliable cohort selection across radiology, pathology, clinical, and derived analysis datasets.

Core Features & Use Cases

  • Metadata search and cohort building: Find datasets by modality, body part, manufacturer, cancer type, license, or collection.
  • Download and access workflows: Retrieve DICOM series, generate manifests, browse viewer links, or use cloud storage and DICOMweb when needed.
  • Research-ready support: Check licensing, generate citations, work with clinical tables, and explore specialized indices for segmentations, annotations, slide microscopy, and RT structure sets.
  • Use case: A researcher can identify CC BY licensed chest CT series for lung cancer studies, preview them in the browser, download only the needed series, and save citations for publication.

Quick Start

Ask the skill to find the most relevant IDC collection for your imaging study, verify the license, and prepare the filtered series for download or browser viewing.

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?

To download public cancer imaging data, you can query and retrieve DICOM series from the NCI Imaging Data Commons using the idc-index interface, generating manifests or using cloud storage and DICOMweb access for reproducible research pipelines.

Can I filter IDC radiology and pathology datasets by license and cancer type?

Yes, you can filter IDC radiology and pathology datasets by modality, body part, manufacturer, cancer type, license, or collection to build research-ready cohorts for clinical studies and publication.

Does querying IDC metadata require a BigQuery connection or cloud storage setup?

Querying IDC metadata primarily requires the idc-index package, while BigQuery, cloud storage, and DICOMweb access are optional dependencies needed only for advanced metadata retrieval and reproducible research pipelines.

What is the best way to find DICOM segmentations and RT structure sets in IDC?

The best way to find DICOM segmentations and RT structure sets is by using the specialized indices provided by the skill, which support discovery of segmentations, annotations, slide microscopy, and RTSTRUCT workflows.

How do I generate citations and check licensing for downloaded IDC imaging collections?

You can generate citations and check licensing for IDC imaging collections directly through the skill's research-ready support features, ensuring you verify permissions like CC BY before downloading DICOM series for publication.

Can I join IDC clinical tables with imaging metadata for cohort discovery?

Yes, you can join IDC clinical tables with imaging metadata during cohort discovery to filter series by clinical parameters, preview them in browser viewer links, and save citations for publication.