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Table 1 A table of all region segmentation approaches, whether they use deep learning or not, and whether models were fine-tuned on TissueNet or not that were assessed in this work

From: Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines

 

Nuclear segmentation

Cytoplasm segmentation

Deep learning

Fine-tuned

Deep learning

Fine-tuned

Mesmer

Yes

Yes

Yes

Yes

AICS

No

No

No

No

SplineDist

Yes

Yes

N/A

N/A

UF-UNet

Yes

Yes

N/A

N/A

CellPose

Yes

No

Yes

No

Columbus

No

No

No

No

  1. N/A means that the models were not used for cytoplasm segmentation