IDC User Guide
  • Welcome!
  • 🚀Getting started
  • Core functions
  • Frequently asked questions
  • Support
  • Key pointers
  • Publications
  • IDC team
  • Acknowledgments
  • Jobs
  • Data
    • Introduction
    • Data model
    • Data versioning
    • Organization of data
      • Files and metadata
      • Resolving CRDC Globally Unique Identifiers (GUIDs)
      • Clinical data
      • Organization of data, v2 through V13 (deprecated)
        • Files and metadata
        • Resolving CRDC Globally Unique Identifiers (GUIDs)
        • Clinical data
      • Organization of data in v1 (deprecated)
    • Downloading data
      • Downloading data with s5cmd
    • Data release notes
    • Data known issues
  • Tutorials
    • Portal tutorial
    • Python notebook tutorials
    • Slide microscopy
      • Using QuPath for visualization
  • DICOM
    • Introduction to DICOM
    • DICOM data model
    • Original objects
    • Derived objects
      • DICOM Segmentations
      • DICOM Radiotherapy Structure Sets
      • DICOM Structured Reports
    • Coding schemes
    • DICOM-TIFF dual personality files
    • IDC DICOM white papers
  • Portal
    • Getting started
    • Exploring and subsetting data
      • Configuring your search
      • Exploring search results
      • Data selection and download
    • Visualizing images
    • Proxy policy
    • Viewer release notes
    • Portal release notes
  • API
    • Getting Started
    • IDC API Concepts
    • Manifests
    • Accessing the API
    • Endpoint Details
    • V1 API
      • Getting Started
      • IDC Data Model Concepts
      • Accessing the API
      • Endpoint Details
      • Release Notes
  • Cookbook
    • Colab notebooks
    • BigQuery
    • Looker dashboards
      • Dashboard for your cohort
      • More dashboard examples
    • ACCESS allocations
    • Compute engine
      • 3D Slicer desktop VM
      • Using a BQ Manifest to Load DICOM Files onto a VM
      • Using VS Code with GCP VMs
      • Security considerations
    • NCI Cloud Resources
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  1. Introduction

Features

Last updated 8 months ago

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The following components and capabilities are being developed by IDC:

  • (IDC Portal)

  • Visualization of the hosted imaging data supported by the integrated (radiology data) and (digital pathology data)

  • to support programmatic use of the IDC functionality

  • to help you get started

IDC is being built utilizing the Google Cloud Platform (GCP) as the foundation. We use a range of products developed by GCP, most notably Google Healthcare, to implement the capabilities listed above. We discuss the role of the major GCP components used by IDC in .

IDC data in files is hosted both in Google Cloud Storage (GCS) buckets and (starting from v14) in Amazon AWS S3 buckets. GCS data storage and egress are sponsored by . AWS data storage and egress sponsored by .

You can download IDC data (either to your computer or to a cloud VM) from either GCS or AWS buckets without the need to login, and without having to pay for egress!

IDC is relying on the standard for data modeling and representation. Most of the data hosted by IDC is in DICOM format. Our goal is to have all of the imaging (including digital pathology, microscopy and other non-radiological image types) and image-derived data (such as results of segmentation, image annotation, or post-processing) represented in the DICOM format. You can read more about our motivation and details of our approach in .

Cloud-hosted imaging data collections
Search and cohort building portal
OHIF Viewer
SliM viewer
idc-index python package
Interactive self-guided tutorials
this section
Google Public Data Program
AWS Open Data Sponsorship Program
Digital Imaging and Communications in Medicine (DICOM)
this section