On grand-challenge.org, we provide tools for researchers to organize challenges in medical image analysis.
Challenges are meant to facilitate a fair and objective comparison of a set of machine learning (ML) solutions for a defined clinical problem. Such a fair and objective comparison requires a representative set of test images that the ML algorithms will be run on and the definition of evaluation standards against which those algorithms' results will be compared. grand-challenge.org provides a scalable, fast, and intuitive platform for hosting such challenges.
Specifically, we offer the following tools:
- An easy way to create a site, add and edit pages like a wiki
- Registration mechanisms for participants
- Secure ways for organizers to provide challenge data to participants and for participants to upload results
- Mechanisms for participants to submit Algorithm solutions directly as Docker containers
- Automated and fully customizable evaluations of the results generated by the submitted algorithms
- Automated leaderboard management, including ways to tabulate, sort, and visualize the results
- The possibility to define multiple leaderboards, corresponding to different Phases for your Challenge
For a more in-depth explanation of what a challenge is and why it is useful, listen to James Meakin during one of our internal workshops: