This repository is meant as a tutorial for challenge participants.
If you have not visited the BraTS 2024 Inpainting Website yet, you should do so. Also, consider reading the challenge manuscript for more context, as the GitHub tutorial is somewhat technical in nature.
This repository is divided into three subtopics with a separate README file each.
- Dataset: dataset/README.md
Gives an overview of the challenge training dataset. Also includes the algorithm we used to generate the dataset. - Baseline Model: baseline/README.md Explains the creation of the baseline model. Also includes performance evaluations. You might want to use this chapter as a starting point for your own (better) model!
- Evaluation: evaluation/README.md Shows how our evaluation script works on the Synapse server using our baseline model as an example. During the validation phase, you will need to upload predictions to the Synapse server.
- Submission: submission/README.md Using our baseline model as an example guides you through the synapse submission process.* This is relevant for the final submission, where you will upload your whole model to Synapse.*