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Towards pixel-to-pixel deep nucleus detection in microscopy images
BACKGROUND: Nucleus is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging as a powerful tool for biomedical image computing; in particular, convolutional neural networks...
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| Publicado en: | BMC Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6744696/ https://ncbi.nlm.nih.gov/pubmed/31521104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3037-5 |
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