Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology.

Qi LaiWeijuan ChenXuan DingXin HuangWenli JiangLingjing ZhangJinhua ChenDajing GuoZhiming ZhouTian-Wu Chen

Published in: European radiology experimental (2024)

QC of elbow joint radiography is important for detecting diseases. Models based on YOLOv8 are proposed and perform well in image QC. Models offer objective and efficient solutions for QC in elbow joint radiographs.

Keyphrases

artificial intelligence
quality control
deep learning
machine learning
big data
image quality
cone beam computed tomography
contrast enhanced