Are you ready to start? Here we recap all the important information and steps to get started.

Track 1

If you want to get a quick idea about how to handle new medical imaging data format, you will find useful a GitHub dedicated to the task: GitHub. There you will be able to find code for handling the data format, code to reproduce the baseline model and code of evaluation metrics.

Ready to start? Download the data from Zenodo and start creating your cool model for white matter lesion segmentation. Ready to submit? Visit the submission page explaining how to build and submit you docker model.

Checklist:

• Request access on Zenodo by accepting the DUA (What is a DUA?) 
• Once we approve your request, download the data from Zenodo and start creating your cool model for white matter lesion segmentation. 
• Need a baseline? Check our baselines. 
• Understand how to create a submission  
• Submit your Docker model 
• Submit your technical report

Track 2

We provide a full set of code and tutorials at GitHub that step you though the process required to develop and evaluate your models locally. Via the tutorials you are able to reproduce the baseline deep ensemble we provide and evaluate its performance.

Ready to submit? Visit the submission page explaining how to build and submit you docker model.

Checklist:

• Download the data from Zenodo and start creating your cool model for Power Estimation. 
  
• Need a baseline? Check our baselines. 
• Understand how to create a submission  
• Submit your Docker model 
• Submit your technical report