Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs

G Chandrashekar, S AlQarni, EE Bumann… - Computers in Biology and …, 2022 - Elsevier
Panoramic radiographs are an integral part of effective dental treatment planning,
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

Y Liu, R Xie, L Wang, H Liu, C Liu, Y Zhao… - International Journal of …, 2024 - nature.com
Accurate segmentation of oral surgery-related tissues from cone beam computed
tomography (CBCT) images can significantly accelerate treatment planning and improve …

Evaluating Tooth Segmentation Accuracy and Time Efficiency in CBCT Images using Artificial Intelligence: A Systematic Review and Meta-analysis

B Xiang, J Lu, J Yu - Journal of Dentistry, 2024 - Elsevier
Objectives: This systematic review and meta-analysis aimed to assess the current
performance of artificial intelligence (AI)-based methods for tooth segmentation in three …

Semi or fully automatic tooth segmentation in CBCT images: a review

Q Zheng, Y Gao, M Zhou, H Li, J Lin, W Zhang… - PeerJ Computer …, 2024 - peerj.com
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 …

A combined approach for accurate and accelerated teeth detection on cone beam CT images

M Du, X Wu, Y Ye, S Fang, H Zhang, M Chen - Diagnostics, 2022 - mdpi.com
Teeth detection and tooth segmentation are essential for processing Cone Beam Computed
Tomography (CBCT) images. The accuracy decides the credibility of the subsequent …

Automatic segmentation of internal tooth structure from CBCT images using hierarchical deep learning

SH Kim, IS Song, SJ Baek - … Conference on Medical Image Computing and …, 2023 - Springer
Accurate segmentation of teeth is crucial for effective treatment planning. Previous
approaches attempted to segment a tooth as a whole, which has limitations because most …

Automatic tooth segmentation for patients with alveolar clefts guided by tooth descriptors

Y Gong, J Zhang, J Cheng, W Yuan, L He - Biomedical Signal Processing …, 2024 - Elsevier
Tooth instance segmentation, which separates teeth from surrounding tissues and
structures, provides the basis for preoperative planning and research. Existing methods …

面向CBCT 图像的金字塔微分同胚变形牙齿网格重建方法.

张泽初, 彭伟龙, 唐可可, 余朝阳… - Journal of Zhejiang …, 2023 - search.ebscohost.com
从锥形束计算机断层扫描(cone-beam computed tomography, CBCT) 中生成准确,
高质量的牙齿网格是数字牙科常用的一种计算机辅助技术. 然而, 现有的基于实例分割的方法 …

Tooth Segmentation from Cone-Beam CT Images Through Boundary Refinement

Y Xu, M Zhang, S Huang, D Zhang - International Conference on Artificial …, 2023 - Springer
Automatic and accurate individual tooth segmentation from cone-beam computed
tomography images provides important assistance for computer-aided analysis in dentistry …

基于多视角融合的CBCT 图像牙齿实例分割算法

李孜政, 李淳芃, 黄晓峰, 肖云鹏 - 计算机辅助设计与图形学学报 - jcad.cn
在牙科治疗中, 准确快速地从锥形束CT 图像(CBCT) 分割出单个牙齿有着重要意义.
为了解决咬合面难以处理和CBCT 图像分辨率较低的问题, 本文提出了一个两阶段的深度学习 …