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
Correction of a Class III Malocclusion with a Functional Shift and Severe Crowding
Case Reports in Dentistry, 2020 A forward functional shift of the mandible is a significant problem that can cause both functional and aesthetic complications for many patients. This shift usually occurs in growing patients, and it is unusual to see in adult patients.
Yahya A. Alogaibi +3 more
doaj +1 more source
Object-Centric Multiple Object Tracking [PDF]
arXiv, 2023 Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing the annotation burden of multiple-object tracking (MOT) pipelines. Unfortunately, they lack two key properties: objects are often split into parts and are not consistently ...
arxiv
Skeletal and dental Class II malocclusion, with anterior open bite and accentuated overjet
Dental Press Journal of Orthodontics, 2012 Open bite is defined as a deficiency in normal vertical contact between antagonist teeth and may manifest in a limited region, or more rarely throughout the entire dental arch.
Márlio Vinícius de Oliveira
doaj +1 more source
User authentication on earable devices via bone-conducted occlusion sounds [PDF]
With the rapid development of mobile devices and the fast increase of sensitive data, secure and convenient mobile authentication technologies are desired. Except for traditional passwords, many mobile devices have biometric-based authentication methods (e.g., fingerprint, voiceprint, and face recognition), but they are vulnerable to spoofing attacks ...
arxiv +1 more source
Human-centric Scene Understanding for 3D Large-scale Scenarios [PDF]
arXiv, 2023 Human-centric scene understanding is significant for real-world applications, but it is extremely challenging due to the existence of diverse human poses and actions, complex human-environment interactions, severe occlusions in crowds, etc. In this paper, we present a large-scale multi-modal dataset for human-centric scene understanding, dubbed ...
arxiv
Occlusal Reconstruction Aided by Electronic Face Bow
International Dental Journal, 2023 Introduction: This is a case of occlusal reconstruction aided by electronic face bow, and successfully restored the normal occlusal relationship, the normal vertical distance, and the ideal occlusal plane. Case Description: A 35-year-old female, attended
Miss Anna Qiu, Mrs Rui He
doaj
Effects of strong bite force on the facial vertical dimension of pembarong performers
Dental Journal, 2017 Background: A pembarong performer is a reog dancer who bites on a piece of wood inserted into his/her mouth in order to support a 60 kg Barongan or Dadak Merak mask. The teeth supporting this large and heavy mask are directly affected, as the strong bite
C. Christina +2 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