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Table 3 Sensitivity (Recall) evaluating predictions from UNet, ColorAE, and ensemble methods against dilated eed labels

From: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Model CD3 CD4 CD8 CD20 CD16 K17
ColorAE 0.974 0.798 0.868 0.212 0.914 0.871
UNet 0.931 0.675 0.881 0.232 0.991 0.756
Intersection 0.919 0.627 0.865 0.163 0.909 0.727
Union 0.981 0.848 0.887 0.275 0.993 0.909
Union anchor AE 0.974 0.795 0.872 0.212 0.936 0.887
Union anchor UNet 0.933 0.686 0.884 0.229 0.992 0.846