A Multi-Teacher Knowledge Distillation Framework for Enhancing the Robustness of Automated Sperm Morphology Assessment
<b>Background/Objectives:</b> The manual analysis of sperm morphology, crucial for male infertility diagnosis, is subjective and time-consuming. Automated methods using deep learning, offer a promising alternative; however, standard deep models are prone to overfitting when applied to small, heavily...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-04-01
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| Серии: | Diagnostics |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2075-4418/16/8/1230 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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