Medical imaging techniques, such as (cone beam) computed tomography and magnetic
resonance imaging, have proven to be a valuable component for oral and maxillofacial …

Objective: To conduct a comprehensive and systematic review of the application of existing
artificial intelligence for tooth segmentation in CBCT images. Materials and Methods: A …

Introduction Computer assisted technologies based on algorithmic software segmentation
are an increasing topic of interest in complex surgical cases. However—due to functional …

Oral and maxillofacial surgery, is often planned using 2D and 3D diagnostic images of the
teeth, mandible and other facial structures [1]. The common 2D imaging modality in dental …

Image-based algorithmic software segmentation is an increasingly important topic in many
medical fields. Algorithmic segmentation is used for medical three-dimensional visualization …

Objective We present a registration-based semiautomatic mandible segmentation (SAMS)
pipeline designed to process a large number of computed tomography studies to segment 3 …

Recent advances in cone-beam computed tomography (CBCT) have rapidly enabled
widepsread applications of dentomaxillofacial imaging and orthodontic practices in the past …

Automatic segmentation of mandibular cortical bone is challenging due to the appearance of
teeth that have similar intensity with the bone tissue and the variety of bone intensity. In this …

Purpose: Tooth segmentation is an essential step in acquiring patient‐specific dental
geometries from cone‐beam computed tomography (CBCT) images. Tooth segmentation …

We propose a fully automatic method for tooth detection and classification in CT or cone-
beam CT image data. First we compute an accurate segmentation of the maxilla bone …