Task 1¶
- Training set: https://www.fit.vutbr.cz/~ikodym/skullbreak_training.zip
- Test set: https://www.fit.vutbr.cz/~ikodym/skullbreak_evaluation.zip
The skulls in the dataset for task 1 are aligned. A more detailed description of the dataset can be found from [1].
Task 2¶
- Test set: https://zenodo.org/record/5008819
There is no training set for task 2.
Task 3¶
The dataset for AutoImplant 2020 will be used for task 3 of AutoImplant 2021.
- training set: Download here
- test cases 000.nrrd-099.nrrd: Download here.
- test cases 100.nrrd-109.nrrd: Download here.
[1] Kodym, O., Li, J., Pepe, A., Gsaxner, C., Chilamkurthy, S., Egger, J. and Španěl, M., 2021. SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks. Data in Brief, 35, p.106902. (Link)
The challenge is closed. However, dataset can still be accessed upon request. A reference to the following publication is required to use any part of the challenge dataset:
Li, J., Ellis, D.G., Kodym, O., Rauschenbach, L., Rieß, C., Sure, U., Wrede, K.H., Alvarez, C.M., Wodzinski, M., Daniol, M. and Hemmerling, D., 2023. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Analysis, p.102865.
Further datasets: