To effectively monitor the postoperative effect of liver tumors and comprehend the patients' current health conditions, it is essential to conduct precise liver tumor segmentation and compare preoperative and postoperative results. Computer-aided systems provide objective comparision. Consequently, we have developed a liver tumor postoperative effect analysis system that facilitates the display and adjustment of medical images, rapid segmentation of liver and tumor tissues, real-time modification of segmentation results, image registration, and 3D visualization of processed data. The system features an interactive interface that enables image marking with a set of brush tools. For segmentation, the system employs the SPRWNBT algorithm, which in conjunction with user annotations, automatically segments the image slice-by-slice. For modification, the system offers brush-based and B-Spline-based methods. For registration, the system integrates rigid, non-rigid, and fusion registration techniques. The system is open source and designed with a modular architecture that allows for flexible expansion and selection of algorithms. It offers vivid and intuitive comparisons of tumor location, size, and shape for doctors and patients, thereby aiding in evaluating surgical outcomes and patient health status.