Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks

Title
Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks
Authors
Keywords
Non-destructive testing, Ultrasonic testing, Synthetic data generation, Generative Adversarial Network, Deep learning
Journal
ULTRASONICS
Volume 119, Issue -, Pages 106610
Publisher
Elsevier BV
Online
2021-10-27
DOI
10.1016/j.ultras.2021.106610

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