Hena, B.; Wei, Z.; Perron, L.; Castanedo, C.I.; Maldague, X.
Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms. Information 2024, 15, 16.
https://doi.org/10.3390/info15010016
AMA Style
Hena B, Wei Z, Perron L, Castanedo CI, Maldague X.
Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms. Information. 2024; 15(1):16.
https://doi.org/10.3390/info15010016
Chicago/Turabian Style
Hena, Bata, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo, and Xavier Maldague.
2024. "Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms" Information 15, no. 1: 16.
https://doi.org/10.3390/info15010016
APA Style
Hena, B., Wei, Z., Perron, L., Castanedo, C. I., & Maldague, X.
(2024). Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms. Information, 15(1), 16.
https://doi.org/10.3390/info15010016
