Liver tumor resections, living donor liver transplantations, catheter-based liver interventions and other image-guided liver therapies incorporate information derived from the liver and tumor segmentation in the decision-making process. Automatic extraction of liver and tumors from the planning images would not only speed-up and standardize the therapy planning process but would also allow for determination of additional volume- and texture-based information. What is more, automated analysis of baseline and follow-up scans would facilitate a more reliable therapy response classification.