Table 1 Comparison of LACSS model and the baselines on the LIVECell dataset.

From: Efficient end-to-end learning for cell segmentation with machine generated weak annotations

Cell lines

MaskRCNN (fully-supervised)

CenerMask (fully-supervised)

LACSS (semi-supervised)

 

AP50

AP75

mAP

AJI

AP50

AP75

mAP

AJI

AP50

AP75

mAP

AJI

A172

0.74

0.36

0.38

0.59

0.72

0.30

0.35

0.59

0.68

0.29

0.33

0.54

BT474

0.76

0.44

0.43

0.56

0.78

0.43

0.43

0.52

0.68

0.36

0.37

0.53

BV2

0.85

0.60

0.53

0.68

0.85

0.45

0.46

0.67

0.88

0.58

0.52

0.63

Huh7

0.80

0.58

0.52

0.64

0.78

0.50

0.46

0.64

0.70

0.48

0.43

0.60

MCF7

0.74

0.36

0.38

0.53

0.76

0.33

0.37

0.57

0.71

0.27

0.33

0.53

SHSY5Y

0.61

0.16

0.25

0.49

0.61

0.14

0.24

0.50

0.43

0.06

0.14

0.40

SKOV3

0.87

0.60

0.54

0.73

0.86

0.53

0.49

0.71

0.82

0.48

0.46

0.66

SkBr3

0.91

0.80

0.65

0.81

0.90

0.80

0.66

0.79

0.93

0.81

0.65

0.75

  1. All baseline models were trained with the full annotation, whereas LACSS models were trained using the incomplete annotation. Bold font highlights categories for which the LACSS outperformed the baselines.