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 …

Objectives This article reviews recent advances in computer-aided segmentation methods
for oral and maxillofacial surgery and describes the advantages and limitations of these …

Accurate tooth volume segmentation is a prerequisite for computer-aided dental analysis.
Deep learning-based tooth segmentation methods have achieved satisfying performances …

Germectomy is a common surgery in pediatric dentistry to prevent the potential dangers
caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is …

Diffusion models have demonstrated their effectiveness across various generative tasks.
However, when applied to medical image segmentation, these models encounter several …

Teeth localization segmentation and labeling in 2D images have great potential in modern
dentistry to enhance dental diagnostics treatment planning and population-based studies on …

Computer-aided design (CAD) tools are increasingly popular in modern dental practice,
particularly for treatment planning or comprehensive prognosis evaluation. In particular, the …

UNet 作为卷积神经网络(CNN) 中最重要的语义分割框架之一, 广泛地应用于医学图像的分类,
分割和目标检测等图像处理任务. 对UNet 的结构原理进行了阐述, 并对基于UNet …

Automatic and accurate segmentation of teeth from CBCT is of great importance for dental
diagnosis and treatment. In this paper, we propose a symmetric consistent semi-supervised …

Accurate representation of tooth position is extremely important in treatment. 3D dental
image segmentation is a widely used method, however labelled 3D dental datasets are a …