How can I visualize the images found via this skill?

The skill can generate specialized viewer URLs, allowing you to inspect DICOM series and pathology slides directly in your web browser without installing local DICOM software.

Can I use this data for commercial AI training?

While most IDC data is provided under CC-BY licenses, some collections have CC-NC (Non-Commercial) restrictions. The skill allows you to programmatically check licenses for specific datasets.

Does it support joining clinical data with images?

Yes, the skill provides access to clinical indices and tables, enabling you to perform SQL joins between patient clinical records and their corresponding imaging data.

Do I need an account to download data from IDC?

No, the majority of NCI Imaging Data Commons data is public and does not require authentication for querying or downloading using this skill.

What types of imaging modalities are available?

IDC provides access to a wide range of data including radiology (CT, MR, PET), pathology (slide microscopy), and derived data like segmentations and annotations.

NCI Imaging Data Commons Assistant

Name: NCI Imaging Data Commons Assistant
Author: Yezez9

byYezez9

0•

데이터 과학 및 ML

Query, visualize, and download large-scale public cancer imaging datasets from the National Cancer Institute.

This skill empowers researchers and AI developers to programmatically access the NCI Imaging Data Commons (IDC), a massive repository of radiology and pathology data. It provides a specialized interface for the idc-index Python package, allowing users to execute SQL metadata queries, filter datasets by modality or cancer type, and download DICOM files for model training or clinical research without requiring authentication. It simplifies the complex workflow of finding and retrieving medical imaging data, making it an essential tool for medical AI development and cancer research.

주요 기능

01Generate browser-based viewer URLs for instant medical image visualization

02Automate the retrieval of expert-annotated segmentations and AI-derived results

03Download DICOM images and pathology slides directly to your local environment

04Access clinical data and join it with imaging metadata for multi-modal analysis

050 GitHub stars

06Execute SQL queries against the IDC metadata index for precise data selection

사용 사례

01Retrieving expert annotations and segmentations for validation in radiology research

02Building high-quality training datasets for medical imaging AI models

03Selecting patient cohorts based on specific modalities, anatomical sites, or cancer types

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent imaging-data-commons

For use in Claude.ai and ChatGPT

주요 기능

01Generate browser-based viewer URLs for instant medical image visualization

02Automate the retrieval of expert-annotated segmentations and AI-derived results

03Download DICOM images and pathology slides directly to your local environment

04Access clinical data and join it with imaging metadata for multi-modal analysis

050 GitHub stars

06Execute SQL queries against the IDC metadata index for precise data selection

사용 사례

01Retrieving expert annotations and segmentations for validation in radiology research

02Building high-quality training datasets for medical imaging AI models

03Selecting patient cohorts based on specific modalities, anatomical sites, or cancer types