[HTML][HTML] Deep learning in diagnosis of dental anomalies and diseases: A systematic review
Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …
significant attention recently. In this review, studies applying deep learning to diagnose …
[HTML][HTML] Deep learning-based recognition of periodontitis and dental caries in dental x-ray images
IDS Chen, CM Yang, MJ Chen, MC Chen, RM Weng… - Bioengineering, 2023 - mdpi.com
Dental X-ray images are important and useful for dentists to diagnose dental diseases.
Utilizing deep learning in dental X-ray images can help dentists quickly and accurately …
Utilizing deep learning in dental X-ray images can help dentists quickly and accurately …
[HTML][HTML] Artificial intelligence in dentistry: a bibliometric analysis from 2000 to 2023
B Xie, D Xu, XQ Zou, MJ Lu, XL Peng, XJ Wen - Journal of Dental Sciences, 2024 - Elsevier
Background/purpose Artificial intelligence (AI) is reshaping clinical practice in dentistry. This
study aims to provide a comprehensive overview of global trends and research hotspots on …
study aims to provide a comprehensive overview of global trends and research hotspots on …
[HTML][HTML] STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning
S Wang, S Liang, Q Chang, L Zhang, B Gong, Y Bai… - Diagnostics, 2024 - mdpi.com
Accurate tooth segmentation and numbering are the cornerstones of efficient automatic
dental diagnosis and treatment. In this paper, a multitask learning architecture has been …
dental diagnosis and treatment. In this paper, a multitask learning architecture has been …
An intellectual caries segmentation and classification using modified optimization-assisted transformer denseUnet++ and ViT-based multiscale residual denseNet with …
Dental caries is also referred as tooth decay, which is a common teeth disorder for humans.
Based on the statistics, most of the adults faced this dental caries issue. It could result in …
Based on the statistics, most of the adults faced this dental caries issue. It could result in …
基于MobileNetV3 网络的龋病和根尖周炎根尖片的诊断.
王凯欣， 刘丰， 曾令芳， 刘超 - Journal of Prevention & …, 2024 - search.ebscohost.com
目的研究深度学习技术智能诊断龋齿和根尖周炎的效果, 初步探讨深度学习在口腔疾病诊断中的
应用价值. 方法以2 298 张包含健康牙齿, 龋病, 根尖周炎的根尖片数据集为研究对象 …
应用价值. 方法以2 298 张包含健康牙齿, 龋病, 根尖周炎的根尖片数据集为研究对象 …
[PDF][PDF] Tooth and Supporting Tissue Anomalies Detection from Panoramic Radiography Using Integrating Convolution Neural Network with Batch Normalization.
Abnormalities commonly encountered in dental practice include tooth and supporting tissue
issues such as caries, periapical abnormalities, resorption, and impacted third molars …
issues such as caries, periapical abnormalities, resorption, and impacted third molars …
Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review
ADNMA Gasquib, F Milliozd, M Perarde… - 2024 - karger.com
Introduction: A growing number of studies on diagnostic imaging show superior efficiency
and accuracy of computeraided diagnostic systems compared to those of certified dentists …
and accuracy of computeraided diagnostic systems compared to those of certified dentists …
How many radiographs are needed to re-train a deep learning system for object detection?
R Silva, K Hayat, CM Riggs, M Doube - arXiv preprint arXiv:2210.08734, 2022 - arxiv.org
Background: Object detection in radiograph computer vision has largely benefited from
progress in deep convolutional neural networks and can, for example, annotate a …
progress in deep convolutional neural networks and can, for example, annotate a …
Pediatric oral health detection using Swin transformer
Oral health exams in children are important for a variety of reasons, including their impact on
a child's overall well-being and development. Traditional dental health detection methods …
a child's overall well-being and development. Traditional dental health detection methods …