DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN

Authors

  • Temirova Xosiyat Farxod qizi Author

Keywords:

Medical imaging, importan, technology, Diagnosing of diseases, Convolutional Neural Network (CNN)

Abstract

Dental health is an important part of our overall health. Advances in artificial intelligence and machine learning have contributed greatly to us, and one of them is image classification. Using image classification algorithms, we can now easily classify images of objects or objects into groups based on differences in color, structure, or texture. The same can be used to detect oral diseases in humans based on images of the mouth or teeth. The features of the images are used to classify them by comparing them with a dataset of images. A convolutional neural network (CNN) system was adopted.In this article, we conducted a small experiment on the diagnosis of dental images.

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References

Kumar, S., Rani, S., & Singh, R. (2021). Automated recognition of dental caries using K-Means and PCA based algorithm

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Mechatronics Engineering (ICECCME) (pp. 1-6). IEEE.

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Communication and Computing (ICCC) (pp. 1-6). IEEE.

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Published

2024-03-24

Issue

Section

Technical Sciences

How to Cite

DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN. (2024). Innovations in Science and Technologies, 1(1), 175-179. https://innoist.uz/index.php/ist/article/view/213

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