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Table 5 DICE Scores evaluating predictions from UNet, ColorAE, and ensemble methods against per-pixel (hand-drawn) labels

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

Model

CD3

CD4

CD8

CD20

CD16

K17

ColorAE

0.649

0.543

0.764

0.589

0.539

0.649

UNet

0.649

0.463

0.676

0.554

0.581

0.649

Intersection

0.457

0.457

0.769

0.539

0.530

0.457

Union

0.553

0.540

0.675

0.599

0.591

0.553

Union anchor AE

0.611

0.548

0.685

0.588

0.593

0.611

Union anchor UNet

0.526

0.509

0.676

0.558

0.592

0.526