Toothfairy 2.6.2 Apr 2026

Research on improving segmentation through advanced labeling techniques presented at CVPR.

While the paper above covers the foundation, the versioning likely refers to a specific iteration of the dataset or the nnU-Net implementation used for the challenge. ToothFairy 2.6.2

Implementation details and the submission template can be found on the AImageLab GitHub . Supplementary Reading 50 private) for automated

It utilizes 530 3D volumes (480 public, 50 private) for automated, multi-class 3D segmentation. multi-class 3D segmentation.