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imaging-data-commons

Find and download public cancer imaging datasets from the National Cancer Institute Imaging Data Commons.

Updated Jul 1, 2026
Search Tags:#dicom#pathology#idc-index#radiology#imaging data commons#cancer imaging#cohort discovery
One-click install
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill imaging-data-commons-jasrajtulsi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/imaging-data-commons
Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill imaging-data-commons-jasrajtulsi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of discovering, filtering, previewing, and downloading public cancer imaging datasets from the National Cancer Institute Imaging Data Commons. It helps researchers quickly move from a broad data need to a precise cohort with the right modality, anatomy, collection, and license terms.

Core Features & Use Cases

  • Metadata-driven discovery: Search collections, studies, series, and clinical tables by modality, body part, manufacturer, cancer type, and licensing.
  • Data access workflows: Download DICOM series, generate viewer links, and work with cloud storage or DICOMweb when needed.
  • Research-ready cohort building: Build training datasets, compare scanner populations, inspect slide microscopy resources, and attribute sources correctly with citations.
  • Use Case: A researcher wants lung CT scans with commercial-use-friendly licenses, then uses this Skill to identify eligible series, estimate cohort size, and prepare a reproducible download plan.

Quick Start

Ask the skill to find IDC datasets that match your imaging, clinical, and license criteria, then return the exact series or study identifiers needed for download and analysis.

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 DICOM datasets from the Imaging Data Commons?▼

You can download public cancer imaging DICOM datasets by using metadata-driven discovery to filter collections, studies, and series by modality and anatomy. This generates exact series identifiers and cloud storage URLs for reproducible downloads from the Imaging Data Commons.

What is cohort discovery for cancer imaging data and how does metadata filtering work?▼

Cohort discovery for cancer imaging data involves searching clinical tables and imaging series by body part, cancer type, and manufacturer. Metadata filtering works by applying these parameters to isolate precise datasets that match specific research criteria like modality and licensing.

Can I filter IDC radiology and pathology collections by commercial-use-friendly licenses?▼

Yes, you can filter IDC radiology and pathology collections by commercial-use-friendly licenses. The metadata-driven discovery feature allows you to search collections and attribute sources correctly while checking specific license terms before downloading DICOM series.

Does the Imaging Data Commons support DICOMweb and BigQuery for advanced radiology queries?▼

Yes, the Imaging Data Commons supports both DICOMweb and BigQuery paths for advanced radiology queries. These optional configurations work alongside idc-index-backed access to provide cloud storage URLs and perform complex metadata filtering across collections.

What is the best way to build a reproducible training dataset of lung CT scans?▼

The best way to build a reproducible training dataset of lung CT scans is to use cohort discovery to identify eligible series, estimate cohort size, and generate exact study identifiers. This prepares a reproducible download plan with correct licensing and citation attributes.

Do I need idc-index to access derived annotation workflows and slide microscopy resources?▼

Yes, you need idc-index to access derived annotation workflows and slide microscopy resources. The idc-index-backed access is required to query IDC indices, retrieve cloud storage URLs, and perform license checks for reproducible pathology and radiology downloads.

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