Dental bur detection system based on asymmetric double convolution and adaptive feature fusion

Dental bur detection system based on asymmetric double convolution and adaptive feature fusion

Abstract This study aims to improve the detection of dental burs, which are often undetected due to their minuscule size, slender profile, and substantial manufacturing output. The present study introduces You Only Look Once-Dental bur (YOLO-DB), an innovative deep learning-driven methodology for th...

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Bibliographic Details
Main Authors: HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Machine vision
Dental bur
Rotating object detection
Counting and detection system
YOLOv8
Online Access:https://doi.org/10.1038/s41598-024-83241-6
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