Accurate segmentation of 3D dental models derived from intra-oral scanners (IOS) is one of
the key steps in many digital dental applications such as orthodontics and implants …

Accurate volumetric segmentation of brain tumors and tissues is beneficial for quantitative
brain analysis and brain disease identification in multi-modal Magnetic Resonance (MR) …

Defining the loss function is an important part of neural network design and critically
determines the success of deep learning modeling. A significant shortcoming of the …

Cone beam computed tomography (CBCT) is widely employed in modern dentistry, and
tooth segmentation constitutes an integral part of the digital workflow based on these …

With the development of image segmentation technology, image context information plays
an increasingly important role in semantic segmentation. However, due to the complexity of …

With the widespread application of digital orthodontics in the diagnosis and treatment of oral
diseases, more and more researchers focus on the accurate segmentation of teeth from …

Tooth instance segmentation of dental panoramic X-ray images represents a task of
significant clinical importance. Teeth demonstrate symmetry within the upper and lower …

Precise segmentation of teeth from intraoral scanner images is crucial for computer-assisted
orthodontic treatment planning, yet current segmentation quality often falls below clinical …

The semantic information can ensure better pixel classification, and the spatial information of
the low-level feature map can ensure the detailed location of the pixels. However, this part of …

Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic
treatment planning. Pioneering works like PointNet suggest a promising direction to conduct …