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In segmentation, we classified each pixel as a parasite or non-parasite pixel utilizing a random forest classifier. Performance ended up being assessed with classification reliability, Dice coefficient and free-response receiver working feature (FROC) analysis. In life phase classification, we categorized each one of the segmented things into one of 8 clEffects of staining and history variants could be reduced using the inclusion of typical power functio
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