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

Авторы

  • Xosiyat Temirova Автор

Ключевые слова:

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

Аннотация

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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Библиографические ссылки

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

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Опубликован

2024-03-24

Выпуск

Раздел

Technical Sciences

Как цитировать

DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN. (2024). Инновации в науке и технологиях, 1(1), 175-179. https://innoist.uz/index.php/ist/article/view/213

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