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Publication: Yakimovich et al., 2020 - Mimicry Embedding Facilitates Advanced Neural Network Training for Image-Based Pathogen Detection
All Figures: Figures for Yakimovich et al., 2020

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FIG 6

2D Toxoplasma gondii vacuole data set formulated as a multiclass classification problem. Maximum-intensity projections of merged and individual fluorescence channels of T. gondii EGFP vacuoles. Individual channels represent DNA stain (c1; DNA-Dataset), T. gondii EGFP (c2; GFP-Dataset), and ubiquitin (c3), which was used to obtain target information on viability. Bar, 5 μm. (Insets) Bar plots demonstrate proportions of number of examples in classes; filled bars represent the current class. (B) Impact of mimicry embedding on 2D data sets across various neural network architectures. AUC, area under the receiver operating characteristics curve. All metrics are averaged as one-versus-rest across classes.

Acknowledgments

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