imaging-data-commons

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

13|3|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/tassiovale/claude-code-kit --skill imaging-data-commons-tassiovale
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/imaging-data-commons
Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill imaging-data-commons-tassiovale

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to efficiently search and download large-scale radiology and pathology datasets for AI training or research purposes. It streamlines access to the NCI Imaging Data Commons' rich collection of cancer imaging data without authentication or licensing restrictions.

Core Features & Use Cases

  • Dataset Querying: Retrieve datasets based on metadata criteria like cancer type, modality, or anatomical site.
  • Data Download: Efficiently download DICOM files in batch or individually.
  • Browser Visualization: Access and visualize images in a web-based viewer without a local DICOM viewer.
  • Use Case: Quickly access CT and MRI scans of lung cancer for model training.

Quick Start

Use the imaging-data-commons skill to download CT scans for lung cancer with the following command: imaging-data-commons query --collection lung_cancer --modality CT.

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 files for cancer imaging AI training?

Query the NCI Imaging Data Commons using SQL-like metadata filters to select datasets by cancer type or modality, then execute batch downloads to retrieve DICOM files for AI training without authentication or licensing restrictions.

Do I need an API key to access public cancer imaging datasets?

No, you do not need an API key. You can access public cancer imaging datasets from the NCI Imaging Data Commons without authentication, although the idc-index package is required to interface with the IDC API for querying and downloading.

Can I filter cancer imaging data by modality and anatomical site?

Yes, you can filter cancer imaging data by modality and anatomical site. The Skill supports SQL-like queries on dataset metadata, allowing you to retrieve specific radiology and pathology images based on clinical criteria.

How do I query the NCI Imaging Data Commons for lung cancer CT scans?

Query the NCI Imaging Data Commons for lung cancer CT scans by running `imaging-data-commons query --collection lung_cancer --modality CT` to filter and retrieve the relevant DICOM files.

Can I visualize DICOM images in a browser without a local viewer?

Yes, you can visualize DICOM images in a browser without a local viewer. The Skill provides access to a web-based viewer that allows you to visualize queried imaging data directly without installing dedicated DICOM software.

What are the limitations of using idc-index for imaging data retrieval?

The Skill requires the idc-index dependency to interface with the IDC API for batch DICOM downloads and metadata queries, but advanced local visualizations still require external DICOM software.