A Multi-Teacher Knowledge Distillation Framework for Enhancing the Robustness of Automated Sperm Morphology Assessment
This approach mitigates challenges associated with data scarcity and heavily unbalanced sperm morphology datasets, providing consistent improvements and offering a highly generalizable solution for clinical diagnostics.
Authors
- Görkem Serbes (ORCID: https://orcid.org/0000-0003-4591-7368)
- Hakkı Uzun (ORCID: https://orcid.org/0000-0002-5189-3166)
- Hamza Osman İlhan (ORCID: https://orcid.org/0000-0002-1753-2703)
- Merve Hüner Yiğit (ORCID: https://orcid.org/0000-0001-8988-4321)
- Osman Emre Tutay (ORCID: https://orcid.org/0009-0009-3694-3696)
Institutions
- Recep Tayyip Erdoğan University (TR)
- Yıldız Technical University (TR)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-04-20
- DOI
- https://doi.org/10.3390/diagnostics16081230
- Primary Topic
- Sperm and Testicular Function
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
- Recep Tayyip Erdogan Üniversitesi