Image Segmentation Methods for the Quantification of C. albicans cells in Fluorescence Images – Applied Systems Biology – HKI Jena

Image Segmentation Methods for the Quantification of C. albicans cells in Fluorescence Images

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MuMoSim: Machine Learning Supported Multi-Model Simulator for Infection Research
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Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections
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Deep learning supported image analysis of angle-resolved scattered light images of bacteria in microfluidic droplets