Dental anxiety – conditions, models, therapy
Dental anxiety is a condition suffered by many dental patients. It causes psychological discomfort and avoidance of dental appointments, which in turn may lead to oral health issues.
Małgorzata Sobol-Kwapińska+3 more
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Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images [PDF]
This paper proposed a cutting-edge multiclass teeth segmentation architecture that integrates an M-Net-like structure with Swin Transformers and a novel component named Teeth Attention Block (TAB). Existing teeth image segmentation methods have issues with less accurate and unreliable segmentation outcomes due to the complex and varying morphology of ...
arxiv +1 more source
Construction of unbiased dental template and parametric dental model for precision digital dentistry [PDF]
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
Introduction and aim: In recent decades, the whole field of medicine has been undergoing a digital revolution. This phenomenon is making its way into dental fields as well, including orthodontics, and gradually more and more workflow procedures are being
Z Hlavenková+3 more
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]
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
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging [PDF]
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
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation [PDF]
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
Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs [PDF]
The computer-assisted radiologic informative report has received increasing research attention to facilitate diagnosis and treatment planning for dental care providers. However, manual interpretation of dental images is limited, expensive, and time-consuming.
arxiv
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network [PDF]
Dental age is one of the most reliable methods to identify an individual's age. By using dental panoramic radiography (DPR) images, physicians and pathologists in forensic sciences try to establish the chronological age of individuals with no valid legal records or registered patients.
arxiv +1 more source
Dimensional accuracy of alginate mold method on duplication of stone casts
Introduction: Accurate duplication of casts is necessary to fabricate a proper prosthetic appliance with good adaptation. Alginate is an inexpensive impression material and is available in most dental offices. The aim of the present study was to evaluate
Neda Naderi Geisour+4 more
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