Transfer-GAN: data augmentation using a fine-tuned GAN for sperm morphology classification
Author:
Affiliation:
1. Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2238846
Reference52 articles.
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2. Effect of deep transfer and multi-task learning on sperm abnormality detection
3. GAN-Based Approaches for Generating Structured Data in the Medical Domain
4. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images
5. MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network
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