Automated bone segmentation in computed tomography using deep learning with distance maps
3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. This can be very time-consuming. Deep Learning (DL) c