Generative adversarial network based synthetic data training model for lightweight convolutional neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15747-6.pdf
Reference59 articles.
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2. Alrashedy HHN, Almansour AF, Ibrahim DM, Hammoudeh MAA (2022) BrainGAN: Brain MRI Image Generation and Classification Framework Using GAN Architectures and CNN Models. Sens 22:4297. https://doi.org/10.3390/S22114297
3. Antipov, G., Baccouche, M., & Dugelay, J. L. (2017, September). Face aging with conditional generative adversarial networks. In 2017 IEEE international conference on image processing (ICIP) (pp. 2089-2093). IEEE.
4. Asghar U, Arif M, Ejaz K, Vicoveanu D, Izdrui D, Geman O (2022) “An improved COVID-19 detection using GAN-based data augmentation and novel QuNet-based classification,” Biomed Res Int, vol. 2022, https://doi.org/10.1155/2022/8925930
5. Ayub Khan A, Wagan AA, Laghari AA, Gilal AR, Aziz IA, Talpur BA (2022) BIoMT: A State-of-the-Art Consortium Serverless Network Architecture for Healthcare System Using Blockchain Smart Contracts. IEEE Access 10:78887–78898. https://doi.org/10.1109/ACCESS.2022.3194195
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