2.6.2 - Toothfairy

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.

Focuses on improving the segmentation of the mandibular canal. ToothFairy 2.6.2

The primary "complete paper" summarizing the core research and evaluation for the ToothFairy series is: While the paper above covers the foundation, the

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

For a deeper look into the evolving methodology, you may also find these related papers relevant: