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 …
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 …
[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 …
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 …
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 …
Recent advancement in learning methodology for segmenting brain tumor from magnetic resonance imaging-a review
Glioblastomata are the most generally perceived fundamental brain malignant tumors
known as Gliomas, with different shape, size & sub regions. It is hard to segment all three …
known as Gliomas, with different shape, size & sub regions. It is hard to segment all three …
Robust hybrid learning for automatic teeth segmentation and labeling on 3D dental models
Automatic teeth segmentation and labeling on dental models are basic tasks in computer-
aided dentistry. Many existing works can achieve promising results in teeth segmentation …
aided dentistry. Many existing works can achieve promising results in teeth segmentation …
GRAB-Net: Graph-based boundary-aware network for medical point cloud segmentation
Point cloud segmentation is fundamental in many medical applications, such as aneurysm
clipping and orthodontic planning. Recent methods mainly focus on designing powerful …
clipping and orthodontic planning. Recent methods mainly focus on designing powerful …
Heterogeneous data fusion and loss function design for tooth point cloud segmentation
D Liu, Y Tian, Y Zhang, J Gelernter, X Wang - Neural Computing and …, 2022 - Springer
Tooth point cloud segmentation plays an important role in the digital dentistry, and has
received much attention in the past decade. Recently, methods based on the graph neural …
received much attention in the past decade. Recently, methods based on the graph neural …