AN IMPROVED MATHEMATICAL MODEL AND ALGORITHM FOR TOOTH BORDER SEGMENTATION FROM X-RAY DENTAL IMAGES

Authors

  • Temirova X.F. Author
  • Husanov U.A. Author

Keywords:

Segmentation, diagnosis, X-ray, dental diseases, deep learning model, models.

Abstract

Mathematical machine learning model for dental disease diagnosis plays an important role in medicine with high accuracy, speed and personalization capabilities. This allows to increase efficiency not only for patients, but also for medical personnel. Therefore, in this paper, an improved mathematical model and algorithm are developed for effective detection of dental diseases. 

Downloads

Download data is not yet available.

References

Индиаминова Г. Н., Зойиров Т. Э. Improving methods for the prevention of permanent teeth in children with mental disabilities // Журнал

стоматологии и краниофациальных исследований. 2022. Т. 3, № 1.

Kumar S., Rani S., Singh R. Automated recognition of dental caries using K-Means and PCA based algorithm.

Thulaseedharan A., PS L. P. Detection of typical pathologies and differential treatments in dental panoramic X-rays based on deep convolutional neural network // 2023 International Conference on Control, Communication and Computing (ICCC). IEEE, 2023. С. 1–6. DOI: 10.1109/ICCC57834.2023.10165614.

Goswami M., Maheshwari M., Baruah P. D., Singh A., Gupta R. Automated detection of oral cancer and dental caries using convolutional neural network // 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO). IEEE, 2021. С. 1–5.

Mohan R., Arunmozhi R., Rajinikanth V. Deep-learning segmentation and recognition of tooth in thresholded panoramic X-ray // 2023 Winter Summit on Smart Computing and Networks (WiSSCoN). IEEE, 2023. С. 1–5. DOI:10.1109/WiSSCoN57890.2023.10133861.

Chin C. L., Lin J. W., Wei C. S., Hsu M. C. Dentition labeling and root canal recognition using GAN and rule-based system // 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2019. С. 1–

DOI: 10.1109/TAAI48200.2019.8959926.

Thulaseedharan A., PS L. P. Deep learning based object detection algorithm for the detection of dental diseases and differential treatments // 2022 IEEE 19th India Council International Conference (INDICON). IEEE, 2022. С. 1–7. DOI:10.1109/INDICON56171.2022.10040109.

George J., Hemanth T. S., Raju J., Mattapallil J. G., Naveen N. Dental radiography analysis and diagnosis using YOLOv8 // 2023 9th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2023. С. 102–107.

Qi P., Giampaolo F., Prezioso E., Piccialli F. Unsupervised learning for depth estimation in unstructured environments // 2023 IEEE International Conference on Big Data (BigData). IEEE, 2023. С. 5102–5109. DOI:10.1109/BigData57929.2023.10386974.

Chitnis G., Bhanushali V., Ranade A., Khadase T., Pelagade V., Chavan J. A review of machine learning methodologies for dental disease detection // 2020 IEEE India Council International Subsections Conference (INDISCON). IEEE, 2020. С. 63–65.

Divakaran S., Vasanth K., Suja D., Swedha V. Classification of digital dental X-ray images using machine learning // 2021 Seventh International Conference on Bio Signals, Images, and Instrumentation (ICBSII). IEEE, 2021. С. 1–3.

Santhi S., Chairman M. Oral disease detection from dental X-ray images using DenseNet // 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2022. С. 1280–1286.

Razaghi M., Komleh H. E., Dehghani F., Shahidi Z. Innovative diagnosis of dental diseases using YOLO V8 deep learning model // 2024 13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP). IEEE, 2024. С. 1–5.

Oprea S., Marinescu C., Lita I., Jurianu M., Visan D. A., Cioc I. B. Image processing techniques used for dental X-ray image analysis // 2008 31st International Spring Seminar on Electronics Technology. IEEE, 2008. С. 125–129.

Muresan M. P., Barbura A. R., Nedevschi S. Teeth detection and dental problem classification in panoramic X-ray images using deep learning and image processing techniques // 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2020. С. 457–463.

Priya J. Systematic review of deep learning models for dental images //2023 7th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2023. С. 287–291.

Lakshmi M. M., Chitra P. Tooth decay prediction and classification from X-ray images using deep CNN // 2020 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2020. С. 1349–1355.

Downloads

Published

2025-02-10

Issue

Section

Technical Sciences

How to Cite

AN IMPROVED MATHEMATICAL MODEL AND ALGORITHM FOR TOOTH BORDER SEGMENTATION FROM X-RAY DENTAL IMAGES. (2025). Innovations in Science and Technologies, 2(2), 1-10. https://innoist.uz/index.php/ist/article/view/606

Share

Similar Articles

11-20 of 68

You may also start an advanced similarity search for this article.