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
Dental Anxiety Among Students of the University of Rijeka, Croatia
Acta Stomatologica CroaticaObjectives: Dental anxiety is a common problem and a great challenge for many patients, but also for dentists - the treatment of anxious patients is considered to be one of the most stressful situations for dentists.
Nataša Ivančić Jokic +5 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
Gender Differences in Academic Productivity and Advancement Among Dental School Faculty.
Journal of Women's Health, 2019 Background: An equal number of women and men are now graduating from dental school, but women dentists have lower income and are less likely to achieve positions of leadership, including within dental academia.
Lisa Simon +8 more
semanticscholar +1 more source
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
A QUERY ABOUT CONTINUOUS PROFESSIONAL DEVELOPMENT FROM DENTAL TEACHERS
Pakistan Armed Forces Medical Journal, 2020 Objective: To explore the perception about continuous professional development among dental faculty at Sharif Medical and Dental College. Study Design: Qualitative research design in constructivist paradigm.
Iffat Batool Syed, Abid Ashar
doaj
Satisfaction and attitudes of the student population about dental aesthetics
Journal of Health Sciences, 2021 Introduction: Perceptions of the esthetic appearance of teeth vary in different individuals and can affect satisfaction with the dental appearance, attitudes, and the need for appropriate dental treatment.
Alma Gavranović-Glamoč +7 more
doaj
Perceived relevance of oral biology: a comparative study among dental interns and faculty
Journal of University Medical & Dental College, 2023 Background & Objective: This study aims to compare and examine the distinctive perspectives of dental trainees and distinguished faculty members toward the significance of oral biology subject for dentistry, clinical training, and dental education ...
Sadia Shakeel +5 more
doaj +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
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images [PDF]
, 2023 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