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Test-time augmentation for deep learning-based cell segmentation on microscopy images
Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a massive amount of annotated data. A common way of improving accuracy...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081314/ https://www.ncbi.nlm.nih.gov/pubmed/32193485 http://dx.doi.org/10.1038/s41598-020-61808-3 |