imaging-data-commons

Discover and retrieve public IDC imaging data using idc-index queries.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Org-GAgent/result-interpreter --skill imaging-data-commons-org-gagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/Org-GAgent/result-interpreter/tree/main/.skills/scientific-skills/imaging-data-commons
Command: npx skills add https://github.com/Org-GAgent/result-interpreter --skill imaging-data-commons-org-gagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

IDC data access and discovery can be challenging due to licensing, data location, and metadata complexity. This Skill enables researchers and developers to discover and retrieve public IDC imaging data using idc-index, reducing manual steps and accelerating experiments.

Core Features & Use Cases

  • Query IDC index to discover relevant datasets and license terms.
  • Download DICOM series or whole collections with reproducible paths and optional CRDC UUID-based versioning.
  • Visualize and verify licenses, download data via CLI or Python APIs, and integrate into AI workflows.
  • Use Case: Build a lung CT dataset from NLST for deep learning experiments, with traceable provenance and license compliance.

Quick Start

Run a quick discovery with idc-index to locate a CT dataset in a collection and download the matching SeriesInstanceUIDs to your local directory.

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 DICOM series from Imaging Data Commons without credentials?

Use the idc-index package to query the IDC index and download public DICOM series or whole collections to a local directory without requiring credentials, utilizing series or collection selectors for retrieval.

Can I filter IDC radiology datasets by license terms before downloading?

You can use idc-index to query the IDC index and discover relevant datasets along with their specific license terms, enabling license-aware data access and filtering before downloading DICOM files.

What is the best way to build a lung CT dataset from NLST for deep learning?

Build a lung CT dataset from NLST by using idc-index to query the IDC index, download matching SeriesInstanceUIDs with reproducible paths and optional CRDC UUID-based versioning for traceable provenance in deep learning workflows.

Does idc-index support browser-based visualization for pathology imaging data?

Yes, the idc-index package supports browser-based visualization for pathology and radiology imaging data, allowing you to verify datasets and licenses directly before integrating them into AI workflows via CLI or Python APIs.

How do I query the IDC index to discover public radiology and pathology collections?

Query the IDC index using the idc-index Python package or CLI to programmatically discover public radiology and pathology collections, applying metadata filters to locate relevant datasets and their associated license terms.

Do I need credentials to access public IDC imaging data with idc-index?

No, you do not need credentials to access public IDC imaging data with idc-index; the package enables programmatic discovery and retrieval of public radiology and pathology datasets without any authentication requirements.