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Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring
The differential count of white blood cells (WBCs) is one widely used approach to assess the status of a patient’s immune system. Currently, the main methods of differential WBC counting are manual counting and automatic instrument analysis with labeling preprocessing. But these two methods are comp...
Autores principales: | Huang, Xiwei, Jeon, Hyungkook, Liu, Jixuan, Yao, Jiangfan, Wei, Maoyu, Han, Wentao, Chen, Jin, Sun, Lingling, Han, Jongyoon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828324/ https://www.ncbi.nlm.nih.gov/pubmed/33450866 http://dx.doi.org/10.3390/s21020512 |
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Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512
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