Deep learning approaches for tooth segmentation employ convolutional neural networks
(CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth …

Research on orthodontic treatment monitoring from oralscan video is a new direction in
dental digitalization. We designed an approach to reconstruct, segment, and estimate the …

Dentistry diseases are worldwide concern with the fact that 5% of medical budget is spent on
it. Dental diagnosis requires frequent visits to clinic and multiple personal check‐ups by an …

Accurate 3D modeling of human organs plays a crucial role in building computational
phantoms for virtual imaging trials. However, generating anatomically plausible …

Manual tooth segmentation of 3D tooth meshes is tedious and there is variations among
dentists. Several deep learning based methods have been proposed to perform automatic …

Tooth segmentation from intraoral scans is a crucial part of digital dentistry. Many Deep
Learning based tooth segmentation algorithms have been developed for this task. In most of …

Traballo de fin de grao Page 1 Autor: Angel Pérez Bouzas Tutor: Juan Manuel Seoane Romero
Departamento: Cirugía y Especialidades Médico-Quirúrgicas Junio, 2024 Trabajo de Fin de …

Deep Learning based methods have become immensely popular in recent years. While
these methods look very promising, they are not always translated to the medical images …

Abstract Intra Oral 3D Teeth Segmentation is a crucial step in orthodontic treatment
planning. Traditional methods for aligning teeth rely on manual segmentation and clinical …

Panoramik radyografi, diş hastalıklarının erken teşhis ve tedavisinde yaygın olarak
kullanılan bir araçtır. Ancak bu tekniklerin başarısı, diş hekiminin deneyimine ve doğru …