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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...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7081314/ https://ncbi.nlm.nih.gov/pubmed/32193485 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-61808-3 |
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