A comprehensive review of recent advances in artificial intelligence for dentistry e-health

I Shafi, A Fatima, H Afzal, IT Díez, V Lipari, J Breñosa… - Diagnostics, 2023‏ - mdpi.com
Artificial intelligence has made substantial progress in medicine. Automated dental imaging
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …

A review on AI-based medical image computing in head and neck surgery

J Xu, B Zeng, J Egger, C Wang… - Physics in Medicine …, 2022‏ - iopscience.iop.org
Head and neck surgery is a fine surgical procedure with a complex anatomical space,
difficult operation and high risk. Medical image computing (MIC) that enables accurate and …

Gt u-net: A u-net like group transformer network for tooth root segmentation

Y Li, S Wang, J Wang, G Zeng, W Liu, Q Zhang… - Machine Learning in …, 2021‏ - Springer
To achieve an accurate assessment of root canal therapy, a fundamental step is to perform
tooth root segmentation on oral X-ray images, in that the position of tooth root boundary is …

Semantic graph attention with explicit anatomical association modeling for tooth segmentation from CBCT images

P Li, Y Liu, Z Cui, F Yang, Y Zhao… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Accurate tooth identification and delineation in dental CBCT images are essential in clinical
oral diagnosis and treatment. Teeth are positioned in the alveolar bone in a particular order …

Lightweight deep learning methods for panoramic dental X-ray image segmentation

S Lin, X Hao, Y Liu, D Yan, J Liu, M Zhong - Neural Computing and …, 2023‏ - Springer
Dental X-ray image segmentation is helpful for assisting clinicians to examine tooth
conditions and identify dental diseases. Fast and lightweight segmentation algorithms …

Two-stream graph convolutional network for intra-oral scanner image segmentation

Y Zhao, L Zhang, Y Liu, D Meng, Z Cui… - … on Medical Imaging, 2021‏ - ieeexplore.ieee.org
Precise segmentation of teeth from intra-oral scanner images is an essential task in
computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based …

Numbering permanent and deciduous teeth via deep instance segmentation in panoramic x-rays

L Pinheiro, B Silva, B Sobrinho, F Lima… - 17th International …, 2021‏ - spiedigitallibrary.org
Panoramic X-rays are an essential tool to assist dentistry experts in their diagnostic
procedures. Dentists can analyze the anatomical and pathological structures while planing …

Alternate level set evolutions with controlled switch for tooth segmentation

B Jiang, S Zhang, M Shi, HL Liu, H Shi - IEEE Access, 2022‏ - ieeexplore.ieee.org
CBCT images have been widely used in digital orthodontics. In CBCT images, there are
some tooth boundaries of blurriness and disappearance, and the teeth are of intensity …

Oral multi-pathology segmentation with Lead-Assisting Backbone Attention Network and synthetic data generation

Q Li, H Chen, X Huang, M He, X Ning, G Wang, F He - Information Fusion, 2025‏ - Elsevier
Oral diseases are prevalent among the public, and artificial intelligence-based automatic
oral multi-pathology diagnosis can help patient treatment and reduce healthcare pressure …

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation

Y Wang, Y Zhang, X Chen, S Wang, D Qian… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Computer-aided design (CAD) tools are increasingly popular in modern dental practice,
particularly for treatment planning or comprehensive prognosis evaluation. In particular, the …