Results 41 to 50 of about 36,643 (324)
Construction of unbiased dental template and parametric dental model for precision digital dentistry [PDF]
arXiv, 2023 Dental template and parametric dental models are important tools for various applications in digital dentistry. However, constructing an unbiased dental template and accurate parametric dental models remains a challenging task due to the complex anatomical and morphological dental structures and also low volume ratio of the teeth.
arxiv
Reabilitacijos Mokslai: Slauga, Kineziterapija, Ergoterapija, 2020 The close anatomical and neuronal (sensory and motor) linkage between the upper cervical spine and the craniofacial section documented in literature accounts for relationships between the jaw position and the inclination of the cervical spine.
Giedrė Jurgelaitienė +2 more
doaj +1 more source
A review of dental informatics : current trends and future directions [PDF]
Dental Research: An International Journal (DRIJ) Vol.5, No 1 2023, 2023 Dental informatics is a rapidly evolving field that combines dentistry with information technology to improve oral health care delivery, research, and education. Electronic health records (EHRs), telehealth, digital imaging, and other digital tools have revolutionised how dental professionals diagnose, treat, and manage oral health conditions.
arxiv
Applied Sciences, 2020 A dental implant is currently the most commonly used treatment for patients with lost teeth. There is no biomechanical reference available to study the effect of different occlusion conditions on dental implants with different positions.
Pei-Ju Lin, Kuo-Chih Su
doaj +1 more source
Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs [PDF]
arXiv, 2022 The computer-assisted radiologic informative report is currently emerging in dental practice to facilitate dental care and reduce time consumption in manual panoramic radiographic interpretation. However, the amount of dental radiographs for training is very limited, particularly from the point of view of deep learning.
arxiv
Applied Sciences, 2021 Background: The mechanisms of periimplantitis are mostly based on biofilm-induced inflammatory lesions around dental implants. However, the host reaction, reflected by the intensity of the inflammatory response to bacterial products, is crucial for peri ...
Sergiu Drafta +6 more
doaj +1 more source
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation [PDF]
arXiv, 2022 Segmenting dental plaque from images of medical reagent staining provides valuable information for diagnosis and the determination of follow-up treatment plan. However, accurate dental plaque segmentation is a challenging task that requires identifying teeth and dental plaque subjected to semantic-blur regions (i.e., confused boundaries in border ...
arxiv
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging [PDF]
arXiv, 2023 Objectives: This research introduces a novel area-preserving Generative Adversarial Networks (GAN) inversion technique for effectively de-identifying dental patient images. This innovative method addresses privacy concerns while preserving key dental features, thereby generating valuable resources for dental education and research.
arxiv
Advanced Materials, EarlyView.Surprisingly, a cell can bind to itself to make a self‐adhesion, which engineered here to improve how cells attach to biomaterials. Nanoprinting are used to make 3D structures smaller than cells–called Self‐Adhesion‐Tunnels (SATs)–around which cells can wrap and bind to themselves.
Anamika Singh +4 more
wiley +1 more source
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation [PDF]
arXiv, 2022 Automatic tooth instance segmentation on 3D dental models is a fundamental task for computer-aided orthodontic treatments. Existing learning-based methods rely heavily on expensive point-wise annotations. To alleviate this problem, we are the first to explore a low-cost annotation way for 3D tooth instance segmentation, i.e., labeling all tooth ...
arxiv