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Measurement Science Review
Volume 22 (2022): Issue 3 (June 2022)
Open Access
Real-Time Instance Segmentation of Metal Screw Defects Based on Deep Learning Approach
Wei-Yu Chen
Wei-Yu Chen
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Chen, Wei-Yu
,
Yu-Reng Tsao
Yu-Reng Tsao
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Tsao, Yu-Reng
,
Jin-Yi Lai
Jin-Yi Lai
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Lai, Jin-Yi
,
Ching-Jung Hung
Ching-Jung Hung
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Hung, Ching-Jung
,
Yu-Cheng Liu
Yu-Cheng Liu
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Liu, Yu-Cheng
and
Cheng-Yang Liu
Cheng-Yang Liu
Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei,
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Liu, Cheng-Yang
Apr 22, 2022
Measurement Science Review
Volume 22 (2022): Issue 3 (June 2022)
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Published Online:
Apr 22, 2022
Page range:
107 - 111
Received:
Dec 14, 2021
Accepted:
Feb 28, 2022
DOI:
https://doi.org/10.2478/msr-2022-0014
Keywords
Defect inspection
,
metal screw
,
deep learning
,
convolutional neural network
© 2022 Wei-Yu Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
