Less-supervised learning with knowledge distillation for sperm morphology analysis
Author:
Affiliation:
1. Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2024.2347978
Reference42 articles.
1. Effect of deep transfer and multi-task learning on sperm abnormality detection
2. Andrews J Tanay T Morton EJ Griffin LD 2016. Transfer representation-learning for anomaly detection. JMLR.
3. Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks
4. Gold-standard for computer-assisted morphological sperm analysis
5. Chen D, Mei JP, Zhang Y, Wang C, Wang Z, Feng Y, Chen C. 2021. Cross-layer distillation with semantic calibration. Proceedings of the AAAI Conference on Artificial Intelligence. p. 7028–7036.
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