Table 3 Individual Aggregated Jaccard Index scores of the eight breast tissue images, which composed the MoNuSeg test dataset.

From: A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks

Image ID

Fiji

U-Net (DenseNet-201)

Ensemble U-Net

Mask R-CNN

GB U-Net

TCGA-A7-A13E-01Z-00-DX1

0.35

0.515

0.579

0.517

0.628

TCGA-A7-A13F-01Z-00-DX1

0.328

0.434

0.491

0.554

0.518

TCGA-AC-A2FO-01A-01-TS1

0.252

0.493

0.478

0.543

0.511

TCGA-AO-A0J2-01A-01-BSA

0.323

0.561

0.486

0.56

0.535

TCGA-AR-A1AK-01Z-00-DX1

0.31

0.526

0.458

0.511

0.5

TCGA-AR-A1AS-01Z-00-DX1

0.634

0.623

0.632

0.611

0.676

TCGA-E2-A14V-01Z-00-DX1

0.272

0.482

0.436

0.5

0.464

TCGA-E2-A1B5-01Z-00-DX1

0.249

0.433

0.379

0.43

0.432

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