Results 61 to 70 of about 22,425,156 (408)
Scientific Reports, 2021 Retinoic acid (RA) is a key signal for the specification of the pancreas. Still, the gene regulatory cascade triggered by RA in the endoderm remains poorly characterized.
Ana R. López-Pérez +7 more
doaj +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
3D FEA of cemented glass fiber and cast posts with various dental cements in a maxillary central incisor [PDF]
, 2015 This study aimed to analyse and compare the stability of two dental posts cemented with four different luting agents by examining their shear stress transfer through the FEM.
Ahmed A. Madfa +4 more
core +1 more source
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
Revista de Odontologia da UNESPAIM: To assess dimensional change and antimicrobial activity of disinfectants substances incorporated during the dental stone manipulation. MATERIAL AND METHOD: In vivo - microorganisms were collected in alginate molds of 30 volunteers inoculated on BHI ...
Patrícia Lins Azevedo do Nascimento +3 more
doaj +1 more source
Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images
Italian National Conference on Sensors, 2022 The teeth are the most challenging material to work with in the human body. Existing methods for detecting teeth problems are characterised by low efficiency, the complexity of the experiential operation, and a higher level of user intervention.
Y. Almalki +9 more
semanticscholar +1 more source
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network [PDF]
, 2022 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
RANKL neutralisation prevents osteoclast activation in a human ameloblastoma-bone model
Journal of Tissue Engineering, 2022 Ameloblastoma is a benign, locally invasive epithelial odontogenic neoplasm of the jaw. Treatment of choice is jaw resection, often resulting in significant morbidity.
Judith Pape +6 more
doaj +1 more source
Generalizability of deep learning models for dental image analysis
Scientific Reports, 2021 We assessed the generalizability of deep learning models and how to improve it. Our exemplary use-case was the detection of apical lesions on panoramic radiographs.
J. Krois +7 more
semanticscholar +1 more source