Detection and stage classification of Plasmodium falciparum from images of Giemsa stained thin blood films using random forest classifiers
Abstract 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. Segm...
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Format: | Book |
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BMC,
2020-10-01T00:00:00Z.
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A1234.567 |
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