  Accurate identification, localization, and segregation of teeth from Cone
Beam Computed Tomography (CBCT) images are essential for analyzing dental
pathologies. Modeling an individual tooth can be challenging and intricate to
accomplish, especially when fillings and other restorations introduce
artifacts. This paper proposes a method for automatically detecting,
identifying, and extracting teeth from CBCT images. Our approach involves
dividing the three-dimensional images into axial slices for image detection.
Teeth are pinpointed and labeled using a single-stage object detector.
Subsequently, bounding boxes are delineated and identified to create
three-dimensional representations of each tooth. The proposed solution has been
successfully integrated into the dental analysis tool Dentomo.
