Deep learning in diagnosis of dental anomalies and diseases: A systematic review
Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …
significant attention recently. In this review, studies applying deep learning to diagnose …
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
The process of creating virtual models of dentomaxillofacial structures through three-
dimensional segmentation is a crucial component of most digital dental workflows. This …
dimensional segmentation is a crucial component of most digital dental workflows. This …
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 …
Trans-VNet: Transformer-based tooth semantic segmentation in CBCT images
C Wang, J Yang, B Wu, R Liu, P Yu - Biomedical Signal Processing and …, 2024 - Elsevier
Three-dimensional dental models hold significant value for advancing digital oral cavity
development. Tooth segmentation, based on CBCT image analysis, is a pivotal step in …
development. Tooth segmentation, based on CBCT image analysis, is a pivotal step in …
Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs
Accurate tooth segmentation in panoramic radiographs is a useful tool for dentists to
diagnose and treat dental diseases. Segmenting and labeling individual teeth in panoramic …
diagnose and treat dental diseases. Segmenting and labeling individual teeth in panoramic …
A hierarchical deep learning approach for diagnosing impacted canine-induced root resorption via cone-beam computed tomography
Z Pirayesh, H Mohammad-Rahimi, SR Motamedian… - BMC Oral Health, 2024 - Springer
Objectives Canine-induced root resorption (CIRR) is caused by impacted canines and
CBCT images have shown to be more accurate in diagnosing CIRR than panoramic and …
CBCT images have shown to be more accurate in diagnosing CIRR than panoramic and …
Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs
Accurate detection of impacted teeth in panoramic radiographs is critical for effective
diagnosis and treatment planning in dentistry. Traditional segmentation methods often face …
diagnosis and treatment planning in dentistry. Traditional segmentation methods often face …
Panoramik diş görüntülerinde derin evrişimsel sinir ağına dayalı gömülü diş tespiti ve segmentasyonu
Gömülü diş tespiti, diş hekimliği uygulamalarında önemli bir adımdır ve doğru bir tespit
süreci, tedavi planlaması ve teşhislerde büyük önem taşır. Geleneksel yöntemlerin …
süreci, tedavi planlaması ve teşhislerde büyük önem taşır. Geleneksel yöntemlerin …
Applications of artificial intelligence for surgical extraction in stomatology: a systematic review
P Qiu, R Cao, Z Li, J Huang, H Zhang… - Oral Surgery, Oral …, 2024 - Elsevier
Objectives Artificial intelligence (AI) has been extensively used in the field of stomatology
over the past several years. This study aimed to evaluate the effectiveness of AI-based …
over the past several years. This study aimed to evaluate the effectiveness of AI-based …
Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs
H Zhicheng, W Yipeng, L Xiao - Biomedical Engineering and …, 2024 - journals.sagepub.com
Objective: The aim is to detect impacted teeth in panoramic radiology by refining the
pretrained MedSAM model. Study design: Impacted teeth are dental issues that can cause …
pretrained MedSAM model. Study design: Impacted teeth are dental issues that can cause …