Grand Challenge

A platform for end-to-end development of machine learning solutions in biomedical imaging.

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Manage Your Data

  • Upload medical imaging data easily and securely
  • Control who has access to the data
  • View data with our globally available browser-based workstations

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Train Expert Annotators

  • Create sets of questions that users must answer about a dataset
  • Invite clinical experts take part in the training
  • Deliver immediate feedback on performance

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Gather Annotations

  • Create your own set of questions for your dataset
  • Customise the hanging protocols and overlays
  • Use our intuitive workstations to view and report the images

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Benchmark Algorithms

  • Manage your annotated training, test and validation data sets
  • Gather machine learning solutions for your clinical question
  • Objectively assess the performance of algorithms

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Deploy Your Algorithms

  • Upload algorithm container images
  • Manage access for clinical and non-clinical researchers
  • Upload data for execution by your algorithm on our infrastructure

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Find Certified Solutions

  • Filter to easily find solutions to your clinical questions
  • Compare product specifications
  • Verify CE and FDA certification

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Users

55,000

Challenges

245

Algorithms

74

Latest Blog Posts

AI challenges, data, and algorithms

4 March 2021 by Bram van Ginneken

Presentation by Bram van Ginneken held during the European Congress of Radiology 2021 on the how and why of challenges in medical image analysis.

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Why Challenges?

14 Feb. 2021 by Keelin Murphy and Bram van Ginneken

This is an updated version of blog post made years ago when we launched our platform grand-challenge.org. It makes the case for challenges and provides some advice for those interested in setting up their own challenge.

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