Toothfairy 2.6.2 -

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

Research on improving segmentation through advanced labeling techniques presented at CVPR. ToothFairy 2.6.2

It utilizes 530 3D volumes (480 public, 50 private) for automated, multi-class 3D segmentation. For a deeper look into the evolving methodology,

"Segmenting the Inferior Alveolar Canal in CBCTs Volumes: the ToothFairy Challenge" Journal: IEEE Transactions on Medical Imaging (2024) Key Authors: Federico Bolelli, Luca Lumetti, et al. Core Content: This paper details the first challenge (ToothFairy), including the dataset of 443 CBCT scans and a comprehensive comparative evaluation of segmentation methods for the Inferior Alveolar Canal (IAC). Key Technical Components (Version 2.6.2 Context) 50 private) for automated

Implementation details and the submission template can be found on the AImageLab GitHub . Supplementary Reading