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Probing spermiogenesis: a digital strategy for mouse acrosome classification
Classification of morphological features in biological samples is usually performed by a trained eye but the increasing amount of available digital images calls for semi-automatic classification techniques. Here we explore this possibility in the context of acrosome morphological analysis during spe...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473909/ https://www.ncbi.nlm.nih.gov/pubmed/28623263 http://dx.doi.org/10.1038/s41598-017-03867-7 |