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Table 3 Performance on the ATAS dataset

From: Cellstitch: 3D cellular anisotropic image segmentation via optimal transport

Setting

Method

Precision

Recall

AP

mAP

Anisotropy = 0

CellStitch

\(0.79 \pm 0.08\)

\(0.77 \pm 0.04\)

\(0.64 \pm 0.07\)

\(0.70 \pm 0.07\)

Cellpose2D

\(0.61 \pm 0.10\)

\(0.69 \pm 0.04\)

\(0.48 \pm 0.07\)

\(0.54 \pm 0.07\)

Cellpose3D\(^*\)

\(\mathbf {0.87 \pm 0.17}\)

\(\mathbf {0.98 \pm 0.01}\)

\(\mathbf {0.85 \pm 0.17}\)

\(\mathbf {0.85 \pm 0.16}\)

PlantSeg

\(0.40 \pm 0.07\)

\(0.92 \pm 0.16\)

\(0.39 \pm 0.07\)

\(0.39 \pm 0.07\)

Anisotropy = 5

CellStitch\(^*\)

\(\mathbf {0.81 \pm 0.04}\)

\(\mathbf {0.58 \pm 0.05}\)

\(\mathbf {0.51 \pm 0.05}\)

\(\mathbf {0.62 \pm 0.04}\)

Cellpose2D

\(0.67 \pm 0.04\)

\(\mathbf {0.61 \pm 0.05}\)

\(0.47 \pm 0.04\)

\(0.56 \pm 0.03\)

Cellpose3D

\(0.40 \pm 0.09\)

\(\mathbf {0.59 \pm 0.11}\)

\(0.32 \pm 0.08\)

\(0.32 \pm 0.06\)

PlantSeg

\(0.37 \pm 0.08\)

\(0.31 \pm 0.13\)

\(0.20 \pm 0.08\)

\(0.21 \pm 0.06\)

Anisotropy = 10

CellStitch\(^*\)

\(\mathbf {0.75 \pm 0.04}\)

\(0.46 \pm 0.06\)

\(\mathbf {0.40 \pm 0.05}\)

\(\mathbf {0.53 \pm 0.05}\)

Cellpose2D\(^*\)

\(0.64 \pm 0.04\)

\(\mathbf {0.55 \pm 0.05}\)

\(\mathbf {0.42 \pm 0.05}\)

\(\mathbf {0.52 \pm 0.03}\)

Cellpose3D

\(0.30 \pm 0.09\)

\(0.38 \pm 0.11\)

\(0.20 \pm 0.08\)

\(0.26 \pm 0.06\)

PlantSeg

\(0.12 \pm 0.06\)

\(0.04 \pm 0.03\)

\(0.03 \pm 0.02\)

\(0.00 \pm 0.00\)

  1. The best performance (within 0.03 is in bold. The method that achieves the best performance under the majority of the metric is marked with \(^*\)