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motilitAI: A machine learning framework for automatic prediction of human sperm motility
In this article, human semen samples from the Visem dataset are automatically assessed with machine learning methods for their quality with respect to sperm motility. Several regression models are trained to automatically predict the percentage (0–100) of progressive, non-progressive, and immotile s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287611/ https://www.ncbi.nlm.nih.gov/pubmed/35856034 http://dx.doi.org/10.1016/j.isci.2022.104644 |