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Detection and stage classification of Plasmodium falciparum from images of Giemsa stained thin blood films using random forest classifiers
BACKGROUND: The conventional method for the diagnosis of malaria parasites is the microscopic examination of stained blood films, which is time consuming and requires expertise. We introduce computer-based image segmentation and life stage classification with a random forest classifier. Segmentation...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585298/ https://www.ncbi.nlm.nih.gov/pubmed/33097073 http://dx.doi.org/10.1186/s13000-020-01040-9 |