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Morphological components detection for super-depth-of-field bio-micrograph based on deep learning
Accompanied with the clinical routine examination demand increase sharply, the efficiency and accuracy are the first priority. However, automatic classification and localization of cells in microscopic images in super depth of Field (SDoF) system remains great challenges. In this paper, we advance a...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799896/ https://www.ncbi.nlm.nih.gov/pubmed/34417804 http://dx.doi.org/10.1093/jmicro/dfab033 |