A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery

•Collection of a homogenous CT data set of the mandible originating from the clinical routine.•Outlining of the mandible manually by two clinical experts and semi-automatically by multiple segmentation algorithms.•Exploration of medical platforms and multiplatform comparison of multiple open-source based segmentation algorithms.•Inter-rater comparison and validity proof of the generated ground truth and the algorithmic segmentations.•Statistical evaluation of algorithmic against manual segmentations reproducible by others.