Semi-supervised segmentation of blood vessels in synchrotron μm-CT scans
This masters thesis handles segmentation of blood vessels in Wistor-rat lungs, scanned by a µm-CT scanner. These scans are very detailed 3D-volumes and have been rescaled to a more manageable size of 1024 × 1024 × 1024 voxels per volume. The main goals of the thesis is to find a more efficient way to perform segmentation in medical images and thus semi-supervised segmentation techniques have been