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
Towards Earlier Detection of Oral Diseases On Smartphones Using Oral and Dental RGB Images [PDF]
arXiv, 2023 Oral diseases such as periodontal (gum) diseases and dental caries (cavities) affect billions of people across the world today. However, previous state-of-the-art models have relied on X-ray images to detect oral diseases, making them inaccessible to remote monitoring, developing countries, and telemedicine.
arxiv
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
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
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
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
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
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
Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs [PDF]
arXiv, 2023 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
Intergrated Segmentation and Detection Models for Dentex Challenge 2023 [PDF]
arXiv, 2023 Dental panoramic x-rays are commonly used in dental diagnosing. With the development of deep learning, auto detection of diseases from dental panoramic x-rays can help dentists to diagnose diseases more efficiently.The Dentex Challenge 2023 is a competition for automatic detection of abnormal teeth along with their enumeration ids from dental panoramic
arxiv