Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.

Although the manual segmentation showed slightly better performance, the novel CNN-based tool also provided a highly accurate segmentation of the maxillary alveolar bone and its crestal contour consuming 116 times less than the manual approach.