Innovations in Science and Technologies 1-tom 1-san (2024) · 175-179-betler

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

Temirova, Xosiyat

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Annotaciya

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.

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

Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.

Dáyeksóz alıw

APA 7
Temirova, Xosiyat (2024). DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN. Innovations in Science and Technologies, 1(1), 175-179.
GOST R 7.0.5
Temirova, Xosiyat DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN // Innovations in Science and Technologies. 2024. Т. 1. № 1. С. 175-179.
BibTeX
@article{xosiyat2024,
  author  = {Temirova, Xosiyat},
  title   = {DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN},
  journal = {Innovations in Science and Technologies},
  year    = {2024},
  volume  = {1},
  number  = {1},
  pages   = {175-179}
}
RIS
TY  - JOUR
AU  - Temirova, Xosiyat
TI  - DETECTION OF DISEASES IN THE ORAL CAVITY, DETECTION OF DENTAL CARIES USING CNN
JO  - Innovations in Science and Technologies
PY  - 2024
VL  - 1
IS  - 1
SP  - 175
EP  - 179
ER  -