SkullFix - MICCAI AutoImplant 2020 Challenge Dataset

The SkullFix contains 100 triplets
(complete skull, defective skull and the implant) for training and 110
triplets for evaluation. The SkullFix dataset was first used in the
MICCAI 2020 AutoImplant Challenge (https://autoimplant.grand-challenge.org/).

-Please use the following citations if you use the datasets in your work:
J. Li and J. Egger. SkullFix - MICCAI AutoImplant 2020 Challenge Dataset. Figshare, 2021.
O. Kodym, J. Li, et al. SkullBreak / SkullFix – Dataset for automatic Cranial Implant design and a Benchmark for Volumetric Shape learning Tasks. Data in Brief (DIB), Elsevier, 106902, ISSN 2352-3409, 2021.

-The datasets can be viewed with StudierFenster:
www.studierfenster.at

-Toolbox Link:
https://github.com/jianning-li/SciData

-Please see also our second AutoImplant Challenge for cranial implant design in 2021:
http://doi.org/10.5281/zenodo.4577269

SkullFix数据集包含100组（完整颅骨、缺损颅骨与植入体）三元组用于训练，另有110组三元组用于评估。该数据集首次应用于2020年国际医学图像计算和计算机辅助干预会议（Medical Image Computing and Computer Assisted Intervention，MICCAI）AutoImplant挑战赛（https://autoimplant.grand-challenge.org/）。

若您在研究工作中使用本数据集，请引用以下文献：
J. Li 与 J. Egger. SkullFix — MICCAI 2020 AutoImplant挑战赛数据集. Figshare, 2021.
O. Kodym、J. Li 等. SkullBreak / SkullFix — 用于颅骨植入体自动设计的数据集与体积形状学习任务基准. 《数据简报（Data in Brief，DIB）》, 爱思唯尔（Elsevier）, 106902, ISSN 2352-3409, 2021.

本数据集可通过StudierFenster工具查看：www.studierfenster.at

工具库链接：https://github.com/jianning-li/SciData

此外，请参阅我们2021年举办的第二届颅骨植入体设计AutoImplant挑战赛：http://doi.org/10.5281/zenodo.4577269