Deep learning for automatic image segmentation in stomatology and its clinical application
D Luo, W Zeng, J Chen, W Tang - Frontiers in Medical Technology, 2021 - frontiersin.org
Deep learning has become an active research topic in the field of medical image analysis. In
particular, for the automatic segmentation of stomatological images, great advances have …
particular, for the automatic segmentation of stomatological images, great advances have …
Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans
Aim To verify the diagnostic performance of an artificial intelligence system based on the
deep convolutional neural network method to detect periapical pathosis on cone‐beam …
deep convolutional neural network method to detect periapical pathosis on cone‐beam …
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
Background Panoramic radiography is an imaging method for displaying maxillary and
mandibular teeth together with their supporting structures. Panoramic radiography is …
mandibular teeth together with their supporting structures. Panoramic radiography is …
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Accurate and automatic segmentation of individual tooth and root canal from cone-beam
computed tomography (CBCT) images is an essential but challenging step for dental …
computed tomography (CBCT) images is an essential but challenging step for dental …
[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 …
[HTML][HTML] The Application of Artificial Intelligence for Tooth Segmentation in CBCT Images: A Systematic Review
M Tarce, Y Zhou, A Antonelli, K Becker - Applied Sciences, 2024 - mdpi.com
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 …
artificial intelligence for tooth segmentation in CBCT images. Materials and Methods: A …
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 …
Center-sensitive and boundary-aware tooth instance segmentation and classification from cone-beam CT
Tooth instance segmentation provides important assistance for computer-aided orthodontic
treatment. Many previous studies on this issue have limited performance on distinguishing …
treatment. Many previous studies on this issue have limited performance on distinguishing …
Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN
BACKGROUND: Automatic segmentation of individual tooth root is a key technology for the
reconstruction of the three-dimensional dental model from Cone Beam Computed …
reconstruction of the three-dimensional dental model from Cone Beam Computed …
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge
Brain aneurysm detection in Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA)
has undergone drastic improvements with the advent of Deep Learning (DL). However …
has undergone drastic improvements with the advent of Deep Learning (DL). However …