Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN
The early identification of dental caries is necessary for corresponding treatments and the
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …
CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image
Dental caries has been a common health issue throughout the world, which can even lead
to dental pulp and root apical inflammation eventually. Timely and effective treatment of …
to dental pulp and root apical inflammation eventually. Timely and effective treatment of …
A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs
The study aims to evaluate the diagnostic performance of an artificial intelligence system
based on deep learning for the segmentation of occlusal, proximal and cervical caries …
based on deep learning for the segmentation of occlusal, proximal and cervical caries …
Caries segmentation on tooth X-ray images with a deep network
S Ying, B Wang, H Zhu, W Liu, F Huang - Journal of Dentistry, 2022 - Elsevier
Objectives Deep learning has been a promising technology in many biomedical
applications. In this study, a deep network was proposed aiming for caries segmentation on …
applications. In this study, a deep network was proposed aiming for caries segmentation on …
Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
Objectives The aim of this study is to recommend an automatic caries detection and
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …
Dental caries detection using score-based multi-input deep convolutional neural network
Panoramic and periapical radiograph tools help dentists in diagnosing the most common
dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by …
dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by …
[PDF][PDF] Customized convolutional neural network to detect dental caries from radiovisiography (RVG) images
Dental caries is amongst the most common tooth disease that people of all age groups face
around the world. Detection of dental caries from dental x-ray images or RVG images in its …
around the world. Detection of dental caries from dental x-ray images or RVG images in its …
Deep fusion feature extraction for caries detection on dental panoramic radiographs
Caries is the most well-known disease and relates to the oral health of billions of people
around the world. Despite the importance and necessity of a well-designed detection …
around the world. Despite the importance and necessity of a well-designed detection …
Deep learning for early dental caries detection in bitewing radiographs
The early detection of initial dental caries enables preventive treatment, and bitewing
radiography is a good diagnostic tool for posterior initial caries. In medical imaging, the …
radiography is a good diagnostic tool for posterior initial caries. In medical imaging, the …
Rdfnet: A fast caries detection method incorporating transformer mechanism
Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on
digital images for caries detection, we construct a caries detection dataset based on the …
digital images for caries detection, we construct a caries detection dataset based on the …