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Detection and classification of neurons and glial cells in the MADM mouse brain using RetinaNet
The ability to automatically detect and classify populations of cells in tissue sections is paramount in a wide variety of applications ranging from developmental biology to pathology. Although deep learning algorithms are widely applied to microscopy data, they typically focus on segmentation which...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462685/ https://www.ncbi.nlm.nih.gov/pubmed/34559842 http://dx.doi.org/10.1371/journal.pone.0257426 |