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EVICAN—a balanced dataset for algorithm development in cell and nucleus segmentation
MOTIVATION: Deep learning use for quantitative image analysis is exponentially increasing. However, training accurate, widely deployable deep learning algorithms requires a plethora of annotated (ground truth) data. Image collections must contain not only thousands of images to provide sufficient ex...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7320615/ https://ncbi.nlm.nih.gov/pubmed/32239126 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa225 |
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