The subsequent ToothFairy2 challenge (MICCAI 2024) expanded the scope from a single structure to 42 anatomical structures , including the mandible, pharynx, and individual teeth.
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 ToothFairy 2.6.2
Focuses on improving the segmentation of the mandibular canal. including the mandible
For a deeper look into the evolving methodology, you may also find these related papers relevant: 50 private) for automated
It utilizes 530 3D volumes (480 public, 50 private) for automated, multi-class 3D segmentation.
Research on improving segmentation through advanced labeling techniques presented at CVPR.