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High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury
Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learning can expand analysis to larger areas and sample...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115810/ https://www.ncbi.nlm.nih.gov/pubmed/37076596 http://dx.doi.org/10.1038/s41598-023-33433-3 |