Dataset¶

The ToothFairy2 Dataset is divided into a training and a test set.

The training set, ToothFairy2 Dataset, is publicly available under a CC BY-SA license here. Please note that a sign-up will be required to download it. Any publication using our data must explicitly reference this challenge and cite [1, 2, 3]. 

The test set will not be publicly released and will remain private even after the end of the challenge.

Both training and test data have a voxel spacing of 0.3mm isotropic.

[1] Lumetti, L., Pipoli, V., Bolelli, F., Ficarra, E., & Grana, C. (2024). Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal. IEEE Access.  https://doi.org/10.1109/ACCESS.2024.3408629

[2] Cipriano, M., Allegretti, S., Bolelli, F., Di Bartolomeo, M., Pollastri, F., Pellacani,A., Minafra, P., Anesi, A., Grana, C.: Deep Segmentation of the Mandibular Canal:a New 3D Annotated Dataset of CBCT Volumes. IEEE Access 10, 11500–11510(2022). https://doi.org/10.1109/ACCESS.2022.3144840

[3] Cipriano, M., Allegretti, S., Bolelli, F., Pollastri, F., Grana, C.: Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). pp. 21137–21146. IEEE (Jun 2022)