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[HTML][HTML] Analysis of deep learning techniques for dental informatics: a systematic literature review
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …
One of the major obstacles to the health care system's transformation is obtaining …
Deep learning-based tooth segmentation methods in medical imaging: A review
Deep learning approaches for tooth segmentation employ convolutional neural networks
(CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth …
(CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth …
[HTML][HTML] Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
Summary High-fidelity three-dimensional (3D) models of tooth-bone structures are valuable
for virtual dental treatment planning; however, they require integrating data from cone-beam …
for virtual dental treatment planning; however, they require integrating data from cone-beam …
DBGANet: dual-branch geometric attention network for accurate 3D tooth segmentation
Z Lin, Z He, X Wang, B Zhang, C Liu… - … on Circuits and …, 2023 - ieeexplore.ieee.org
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 …
the key steps in many digital dental applications such as orthodontics and implants …
Darch: Dental arch prior-assisted 3d tooth instance segmentation with weak annotations
Automatic tooth instance segmentation on 3D dental models is a fundamental task for
computer-aided orthodontic treatments. Existing learning-based methods rely heavily on …
computer-aided orthodontic treatments. Existing learning-based methods rely heavily on …
GRAB-Net: Graph-based boundary-aware network for medical point cloud segmentation
Point cloud segmentation is fundamental in many medical applications, such as aneurysm
clip** and orthodontic planning. Recent methods mainly focus on designing powerful …
clip** and orthodontic planning. Recent methods mainly focus on designing powerful …
Semantic graph attention with explicit anatomical association modeling for tooth segmentation from CBCT images
Accurate tooth identification and delineation in dental CBCT images are essential in clinical
oral diagnosis and treatment. Teeth are positioned in the alveolar bone in a particular order …
oral diagnosis and treatment. Teeth are positioned in the alveolar bone in a particular order …
Two-stream graph convolutional network for intra-oral scanner image segmentation
Precise segmentation of teeth from intra-oral scanner images is an essential task in
computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based …
computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based …
NKUT: dataset and benchmark for pediatric mandibular wisdom teeth segmentation
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 …
caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is …
Self-supervised learning with masked autoencoders for teeth segmentation from intra-oral 3d scans
In modern dentistry, teeth localization, segmentation, and labeling from intra-oral 3D scans
are crucial for improving dental diagnostics, treatment planning, and population-based …
are crucial for improving dental diagnostics, treatment planning, and population-based …