Fiorio, ChristopheGustedt, Jens2021-12-172021-12-1719962197-8085https://depositonce.tu-berlin.de/handle/11303/15516http://dx.doi.org/10.14279/depositonce-14289We present a practical method to segment large medical images that takes the whole 3-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary information during the segmentation process. Due to the large data size, we are forced to divide our process in two parts: a "weak segmentation" of the individual sections and a global integration of all the data. This method shows good results on computer tomographies.en510 Mathematikvolume segentation3-dimensional imagesimagesUnion-FindtomographyResearch Paper