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Updated: May 14, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net.

Hong-Dar Lin1, Shun-Yan Li1, Chou-Hsien Lin2

  • 1Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 413310, Taiwan.

Sensors (Basel, Switzerland)
|May 13, 2026
PubMed
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This study introduces an advanced visual inspection framework for metallic lock components, overcoming challenges like reflections and low-contrast defects. The system uses controlled imaging and deep learning for reliable surface anomaly detection.

Failed At:

2026-06-19T13:40:36.969260+00:00

Keywords:
TransU-Netdeep learningindustrial machine visionmetallic surface defect inspectionsemantic segmentation

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