Table 3 Performance metrics comparison of various training strategies. Significant values are in bold.

From: Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation

Methods

Precision

Recall

F1-score

Accuracy

mIoU

Self-supervised learning55

0.70

0.71

0.71

0.71

0.59

Pseudo-label generation36

0.74

0.72

0.73

0.74

0.62

Consistency learning56

0.72

0.73

0.72

0.72

0.61

Variant-1

0.74

0.75

0.75

0.74

0.62

Variant-2

0.74

0.72

0.72

0.72

0.61

Proposed approach

0.79

0.78

0.78

0.78

0.64