A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs

B Dayı, H Üzen, İB Çiçek, ŞB Duman - Diagnostics, 2023 - mdpi.com
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 …

CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image

H Zhu, Z Cao, L Lian, G Ye, H Gao, J Wu - Neural Computing and …, 2023 - Springer
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 …

Automatic and visualized grading of dental caries using deep learning on panoramic radiographs

Q Chen, J Huang, H Zhu, L Lian, K Wei… - Multimedia Tools and …, 2023 - Springer
Caries grading plays a significant role for oral health management and treatment planning.
Grading caries on panoramic image is a challenging task due to complication and diversity …

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 …

Artificial intelligence in the detection and classification of dental caries

WM Ahmed, AA Azhari, KA Fawaz, HM Ahmed… - The Journal of Prosthetic …, 2023 - Elsevier
Statement of problem Automated detection of dental caries could enhance early detection,
save clinician time, and enrich treatment decisions. However, a reliable system is lacking …

Children's dental panoramic radiographs dataset for caries segmentation and dental disease detection

Y Zhang, F Ye, L Chen, F Xu, X Chen, H Wu, M Cao… - Scientific Data, 2023 - nature.com
When dentists see pediatric patients with more complex tooth development than adults
during tooth replacement, they need to manually determine the patient's disease with the …

PaXNet: Tooth segmentation and dental caries detection in panoramic X-ray using ensemble transfer learning and capsule classifier

A Haghanifar, MM Majdabadi, S Haghanifar… - Multimedia Tools and …, 2023 - Springer
Dental caries is one of the most chronic diseases involving the majority of the population
during their lifetime. Caries lesions are typically diagnosed by general dentists relying only …

Detection of cavities from dental panoramic x-ray images using nested u-net models

SS Alharbi, AA AlRugaibah, HF Alhasson, RU Khan - Applied Sciences, 2023 - mdpi.com
Dental caries is one of the most prevalent and chronic diseases worldwide. Dental X-ray
radiography is considered a standard tool and a valuable resource for radiologists to identify …

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

EY Park, H Cho, S Kang, S Jeong, EK Kim - BMC Oral Health, 2022 - Springer
Background Intraoral photographic images are helpful in the clinical diagnosis of caries.
Moreover, the application of artificial intelligence to these images has been attempted …

Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN

AR Kumari, SN Rao, PR Reddy - Biomedical Signal Processing and Control, 2022 - Elsevier
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 …