Object separation in CT images using random walk
The segmentation and separation of objects in 3D medical imaging, particularly in Computed Tomography (CT), are essential for accurate diagnostics and preoperative planning. This master's thesis presents a tool for the interactive and automatic separation of segmented bones in CT scans, using the Random Walker algorithm and neural networks. The tool was developed to address challenges such as
