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Automatic classification of cells in microscopic fecal images using convolutional neural networks
The analysis of fecal-type components for clinical diagnosis is important. The main examination involves the counting of red blood cells (RBCs), white blood cells (WBCs), and molds under the microscopic. With the development of machine vision, some vision-based detection schemes have been proposed....
Gardado en:
| Publicado en: | Biosci Rep |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Portland Press Ltd.
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6449518/ https://ncbi.nlm.nih.gov/pubmed/30872411 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1042/BSR20182100 |
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