in which the implant position and dimensions are currently determined manually from 3D CT
images by medical experts to avoid damaging the mandibular nerve inside the canal. Here
we present a deep learning system for automatic localisation of the mandibular canals by
applying a fully convolutional neural network segmentation on clinically diverse dataset of
637 cone beam CT volumes, with mandibular canals being coarsely annotated by …