PMOD provides many options for segmentation tasks. To name a few: threshold and histogram-based, in-range, iso-contouring, region-growing, k-means clustering and machine learning bases segmentation. These methods can flexibly be applied to multi-modal 2D/3D/4D data sets ensuring the user gets the most out of their data as efficiently as possible.