IDC User Guide
Search…
IDC User Guide
prod
Welcome!
Getting started
Core functions
Frequently asked questions
Support
Key pointers
Introduction
Features
Google Cloud Platform
DICOM
Getting started with GCP
Requesting GCP cloud credits
Data
Introduction
Data versioning
Organization of data
Data release notes
Data known issues
DICOM
Introduction to DICOM
Data model
Original objects
Derived objects
Coding schemes
DICOM-TIFF dual personality files
IDC DICOM white papers
Portal
Getting started
Exploring data and cohorts
Visualizing images
Proxy policy
Viewer release notes
Portal release notes
Portal known issues
API
Getting started
IDC Data Model Concepts
Accessing the API
Endpoint Details
Release notes
Cookbook
Colab notebooks
BigQuery
Data Studio
Compute engine
NCI Cloud Resources
Powered By GitBook
Core functions

Cloud-based analysis

    Connect cancer researchers with the data and compute resources co-located on the cloud.
    Enable building of imaging-focused cohorts for cross-omics analyses.

FAIR science

    Implement and refine FAIR (Findable Accessible Interoperable Reusable) data stewardship principles as applied to cancer imaging research.
    Apply DICOM standard to harmonize imaging and image-derived cancer imaging data.
    Define best practices and worked out examples for using and generating FAIR data.

Use cases

    Apply the developed technology to solve meaningful research problems in radiology, digital pathology, and other domains.
    Examples of harmonization of images, image-derived, and image-related data.

Open source

    Simplify access to open source image computing tools.
    Support adoption of IDC-developed tools.

Community building

    Identify and address unmet needs of the cancer imaging community.
    Openness, support, and education.
Previous
Getting started
Next
Frequently asked questions
Last modified 28d ago
Export as PDF
Copy link
Contents
Cloud-based analysis
FAIR science
Use cases
Open source
Community building