ArticlePeerJ. Computer science2021
Descriptive analysis of dental X-ray images using various practical methods: A review.
Article in PeerJ. Computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis.BMC oral health · 2023Pooled it
- An augmentation-enhanced transformer model for forensic identification using panoramic dental x-rays.International journal of legal medicine · 2026Article
- Super-resolution of periapical and bitewing digital radiographs using convolutional neural network.BMC medical imaging · 2026Article
- Improving dental disease diagnosis using a cross attention based hybrid model of DeiT and CoAtNet.Scientific reports · 2026Article
- Novel metaheuristic optimized latent diffusion framework for automated oral disease detection in public health screening.Scientific reports · 2025Article
- AI-powered precision in dental radiographic analysis using tailored CNNs for tooth numbering and cavity detection.PLOS digital health · 2025Article
- Assessing the impact of apicoectomy on autotransplantation success rates: A six-year retrospective cohort study in Taiwan.Journal of dental sciences · 2025Article
- Can super resolution via deep learning improve classification accuracy in dental radiography?Dento maxillo facial radiology · 2025Article
- Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model.International dental journal · 2025Article
- Clinical Evaluation of ODIS-1 Orthodontic Operation and Image Quality of Digital Imaging SystemCurrent medical imaging · 2025Article
- Accuracy of the Hounsfield Unit Values Measured by Implant Planning Software.Dentistry journal · 2024Article
- Classification and detection of dental images using meta-learning.World journal of clinical cases · 2024Article
- Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier.Scientific reports · 2024Article
- Article
- Dental bitewing radiographs segmentation using deep learning-based convolutional neural network algorithms.Oral radiology · 2024Article
- Automating bone loss measurement on periapical radiographs for predicting the periodontitis stage and grade.Frontiers in dental medicine · 2024Article
- Review
- The Application of Deep Learning on CBCT in Dentistry.Diagnostics (Basel, Switzerland) · 2023Review
- Evaluation of histogram equalization and contrast limited adaptive histogram equalization effect on image quality and fractal dimensions of digital periapical radiographs.Oral radiology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-related problems, abnormalities, or teeth structure changes. Another aspect of dental imaging is that it can be helpful in the field of biometrics. Human dental image analysis is a challenging and time-consuming process due to the unspecified and uneven structures of various teeth, and hence the manual investigation of dental abnormalities is at par excellence. However, automation in the domain of dental image segmentation and examination is essentially the need of the hour in order to ensure error-free diagnosis and better treatment planning. In this article, we have provided a comprehensive survey of dental image segmentation and analysis by investigating more than 130 research works conducted through various dental imaging modalities, such as various modes of X-ray, CT (Computed Tomography), CBCT (Cone Beam Computed Tomography), etc. Overall state-of-the-art research works have been classified into three major categories,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.