YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images

YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images

The detection of small voids or defects in X-ray images of tooth root canals still faces challenges. To address the issue, this paper proposes an improved YOLOv10 that combines Token Attention with Residual Convolution (ResConv), termed YOLO-TARC. To overcome the limitations of existing deep learnin...

Full description

Saved in:
Bibliographic Details
Main Authors: Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
root canal treatment
X-ray
void detection
deep neural network
YOLO
residual convolution
Online Access:https://www.mdpi.com/1424-8220/25/10/3036
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/10/3036

Similar Items