A technical report on the specific network topology (6 resolution stages) and normalization used in the ToothFairy2 dataset. Scaling nnU-Net for CBCT Segmentation - arXiv
For a deeper look into the evolving methodology, you may also find these related papers relevant: ToothFairy 2.6.2
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. A technical report on the specific network topology
The subsequent ToothFairy2 challenge (MICCAI 2024) expanded the scope from a single structure to 42 anatomical structures , including the mandible, pharynx, and individual teeth. including the mandible
Research on improving segmentation through advanced labeling techniques presented at CVPR.