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/).<br><br>-Please use the following citations if you use the datasets in your work:<br>J. Li and J. Egger. SkullFix - MICCAI AutoImplant 2020 Challenge Dataset. Figshare, 2021.<br>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.<br><br>-The datasets can be viewed with StudierFenster:<br>www.studierfenster.at<br><br>-Toolbox Link:<br>https://github.com/jianning-li/SciData<br><br>-Please see also our second AutoImplant Challenge for cranial implant design in 2021:<br>http://doi.org/10.5281/zenodo.4577269