Open Access
| Issue |
ITM Web Conf.
Volume 82, 2026
International Conference on NextGen Engineering Technologies and Applications for Sustainable Development (ICNEXTS’25)
|
|
|---|---|---|
| Article Number | 03025 | |
| Number of page(s) | 5 | |
| Section | Information and Technology | |
| DOI | https://doi.org/10.1051/itmconf/20268203025 | |
| Published online | 04 February 2026 | |
- J. Kühnisch, Q. Meyer, M. Hesenius, R. Hickel & V. Gruhn, Caries detection on intraoral images using artificial intelligence. Journal of dental research, 101(2), 158-165 (2022). [Google Scholar]
- W.M. Ahmed, A.A. Azhari, K.A. Fawaz, H.M. Ahmed, Z.M. Alsadah, A. Majumdar & R.M. Carvalho (2025). Artificial intelligence in the detection and classification of dental caries. The Journal of prosthetic dentistry, 133(5), 1326-1332. [Google Scholar]
- K. Yoon, H.M. Jeong, J.W. Kim, J.H. Park & J. Choi, AI-based dental caries and tooth number detection in intraoral photos: Model development and performance evaluation. Journal of dentistry, 141, 104821 (2024). [Google Scholar]
- M. Moharrami, J. Farmer, S. Singhal, E. Watson, M. Glogauer, A.E. Johnson & C. Quinonez. Detecting dental caries on oral photographs using artificial intelligence: A systematic review. Oral Diseases, 30(4), 1765-1783 (2024). [Google Scholar]
- M. Prados-Privado, J. García Villalón, C.H. Martínez-Martínez, C. Ivorra & J.C. Prados-Frutos. Dental caries diagnosis and detection using neural networks: a systematic review. Journal of clinical medicine, 9(11), 3579 (2020). [Google Scholar]
- L. Zheng, H. Wang, L. Mei, Q. Chen, Y. Zhang & H. Zhang, Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks. Annals of Translational Medicine, 9(9), 763 (2021). [Google Scholar]
- C. Wang, R. Zhang, X. Wei, L. Wang, W. Xu & Q. Yao, Machine learning-based automatic identification and diagnosis of dental caries and calculus using hyperspectral fluorescence imaging. Photodiagnosis and Photodynamic Therapy, 41, 103217 (2023). [Google Scholar]
- W. You, A. Hao, S. Li, Y. Wang, & B. Xia, Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments. BMC Oral Health, 20(1), 141 (2020). [Google Scholar]
- Himel, Galib Muhammad Shahriar; Islam, Md Masudul; Hannan, Ummae Hamida, Caries-Spectra: A dataset of Enamel Caries, Mendeley Data, V2, doi: 10.17632/9jnf2jvghy.2 (2023) [Google Scholar]
- R. Mohan, S. Ramadasan & K. Vijayakumar, Development of a Novel UDL-Model for Dental Abnormality Detection from Digital Photographs. In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), 1-6 (2024). IEEE. [Google Scholar]
- R. Mohan & V. Rajinikanth, Examination of H&E-stained Oral Cavity-Derived Cancer Image: A Study using UDL-Model. In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN), 1-5 (2024). [Google Scholar]
- A.S. Vickram & M. Muthu, Extraction and Evaluation of Caries in Dental X-ray using UNet: A Study. In 2025 International Conference on Electronics and Renewable Systems (ICEARS), 1268-1272 (2025). [Google Scholar]
- R. Geetha, S. Ramadasan, K. Vijayakumar & S. Prabha. Automatic Classification of Plant Leaf Images into Healthy and Disease Class with EfficientNet: A Study. In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 1-5 (2024). [Google Scholar]
- R.CMohan, R. Arunmozhi & V. Rajinikanth, Deep-Learning Segmentation and Recognition of Tooth in Thresholded Panoramic X-ray. In 2023 Winter Summit on Smart Computing and Networks (WiSSCoN), 1-5. IEEE (2023). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.