We are hosting an open benchmark with a large preprocessed publicly available dataset that includes co-registered T1-weighted and dMRI, manual thalamic masks, masks generated by three distinct automated methods, and a STAPLE consensus of the masks. A baseline code and environment can be found on https://github.com/MICLab-Unicamp/thalamus_benchmark_diffusion. The benchmark results will be presented as a leaderboard.
Aiming to encourage new methods' development, we present here a leaderboard for any researcher that wishes to apply. We evaluate four metrics:
Average Hausdorff Distance
If you wish to have your team on our leaderboard, please submit your segmentation result on the test set as .nii or .nii.gz files on a compacted folder for firstname.lastname@example.org
Data available on the Download section