Generative Adversarial Learning for Medical Thermal Imaging Analysis
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43205-7_9
Reference33 articles.
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3. Chen, H. (2021). Challenges and corresponding solutions of Generative Adversarial Networks (GANs): A survey study. Journal of Physics: Conference Series, 1827(1). https://doi.org/10.1088/1742-6596/1827/1/012066
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5. Taherkhani, F., Dabouei, A., Soleymani, S., Dawson, J., & Nasrabadi, N. M. (2021). Self-supervised Wasserstein pseudo-labeling for semi-supervised image classification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 12267–12277).
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