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imaging-data-commons

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

1|Updated Mar 12, 2026
Search Tags:#bioinformatics#imaging#dicom#pathology#radiology#data commons#cancer
One-click install
npx skills add https://github.com/yf8578/clawomics --skill imaging-data-commons-yf8578
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/yf8578/clawomics/tree/main/skills/imaging-data-commons
Command: npx skills add https://github.com/yf8578/clawomics --skill imaging-data-commons-yf8578

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to vast public cancer imaging datasets from the NCI Imaging Data Commons (IDC), enabling researchers to find, download, and visualize medical images without manual portal interaction.

Core Features & Use Cases

  • Data Discovery: Query millions of radiology (CT, MR, PET) and pathology images using SQL against IDC's metadata index.
  • Bulk Download: Efficiently download selected datasets directly from cloud storage (AWS S3/GCP).
  • Metadata Exploration: Access detailed DICOM metadata, clinical data, and derived analysis results.
  • Use Case: A researcher needs to build a dataset of lung CT scans for AI model training. They can use this Skill to query IDC for specific criteria (e.g., NLST collection, CT modality, chest body part), download the relevant DICOM files, and verify data licenses, all through a Python interface.

Quick Start

Use the imaging-data-commons skill to 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 datasets from NCI IDC?▼

Download public cancer imaging datasets from NCI IDC by running SQL queries on metadata indices to filter radiology and pathology images, then retrieving the selected DICOM files directly from cloud storage.

Can I query DICOM metadata using BigQuery for cancer imaging data?▼

Query full DICOM metadata for cancer imaging data using BigQuery integration, which allows you to filter clinical data and derived analysis results before bulk downloading files from cloud storage.

How do I find specific radiology CT scans in the Imaging Data Commons for AI training?▼

Find specific radiology CT scans in the Imaging Data Commons for AI training by executing SQL queries against metadata indices to filter by collection, modality, and body part before downloading.

Does the Imaging Data Commons support DICOMweb access for PACS integration?▼

The Imaging Data Commons supports DICOMweb access for PACS integration, enabling direct browser visualization and programmatic retrieval of radiology and pathology images without manual portal interaction.

What types of cancer imaging data can I access through the Imaging Data Commons?▼

Access millions of public cancer imaging datasets through the Imaging Data Commons, including radiology images like CT, MR, and PET scans, alongside pathology images and derived analysis results.

What are the limitations of bulk downloading DICOM files from cloud storage?▼

Bulk downloading DICOM files from cloud storage requires verifying data licenses and managing large file volumes, as this Skill facilitates retrieval from AWS S3 or GCP but does not inherently validate dataset usage rights.

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