Sustainable Agriculture 22-jild 2-son (2024) · 110-112-betlar

DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE

M.Ismailov, O.Ismailov, X.Temirova

Manbada oʻqish PDF

Annotatsiya

This research paper presents a deep learning-based model using YOLOv8 to detect abnormalities in panoramic dental radiographs. In the course of this experiment, we used the currently widely used Raspberry Pi device and achieved the result by deep learning using the above model.

deep learning, YOLOv8, Raspberry Pi, model, object detection, images, problems, medical.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.

Iqtibos olish

APA 7 
M.Ismailov, O.Ismailov & X.Temirova (2024). DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE. Sustainable Agriculture, 22(2), 110-112.
GOST R 7.0.5 
M.Ismailov, O.Ismailov, X.Temirova DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE // Sustainable Agriculture. 2024. Т. 22. № 2. С. 110-112.
BibTeX 
@article{m.ismailov2024,
  author  = {M.Ismailov and O.Ismailov and X.Temirova},
  title   = {DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE},
  journal = {Sustainable Agriculture},
  year    = {2024},
  volume  = {22},
  number  = {2},
  pages   = {110-112}
}
RIS 
TY  - JOUR
AU  - M.Ismailov
AU  - O.Ismailov
AU  - X.Temirova
TI  - DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE
JO  - Sustainable Agriculture
PY  - 2024
VL  - 22
IS  - 2
SP  - 110
EP  - 112
ER  -