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Automatic identifying and counting blood cells in smear images by using single shot detector and Taguchi method
BACKGROUND: Researchers have tried to identify and count different blood cells in microscopic smear images by using deep learning methods of artificial intelligence to solve the highly time-consuming problem. RESULTS: The three types of blood cells are platelets, red blood cells, and white blood cel...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732976/ https://www.ncbi.nlm.nih.gov/pubmed/36482316 http://dx.doi.org/10.1186/s12859-022-05074-2 |