Table 9 Weak supervision comparison... | Emerald Publishing

Table 9

Weak supervision comparison between full supervision and point-wise at different training point ratios (results from [74]).

Dataset	Method	Acc_pixel	F1_pixe1	Dice_obj	AJI_obj
	Fully-sup	0.9615	0.8771	0.8521	0.6979
Lung Cancer (LC)	GT points	0.9427	0.8143	0.8021	0.6497
	5 %	0.9262	0.7612	0.7470	0.5742
	10 %	0.9312	0.7700	0.7574	0.5754
	25 %	0.9331	0.7768	0.7653	0.6003
	50 %	0.9332	0.7819	0.7704	0.6120
	Fully-sup	0.9194	0.8100	0.6763	0.3919
MoNuSeg (MO)	GT points	0.9097	0.7716	0.7242	0.5174
	5%	0.8951	0.7540	0.7015	0.4941
	10 %	0.8997	0.7490	0.7033	0.5031
	25 %	0.8966	0.7511	0.7087	0.5120
	50 %	0.8999	0.7566	0.7157	0.5160

Dataset	Method	Acc_pixel	F1_pixe1	Dice_obj	AJI_obj
	Fully-sup	0.9615	0.8771	0.8521	0.6979
Lung Cancer (LC)	GT points	0.9427	0.8143	0.8021	0.6497
	5 %	0.9262	0.7612	0.7470	0.5742
	10 %	0.9312	0.7700	0.7574	0.5754
	25 %	0.9331	0.7768	0.7653	0.6003
	50 %	0.9332	0.7819	0.7704	0.6120
	Fully-sup	0.9194	0.8100	0.6763	0.3919
MoNuSeg (MO)	GT points	0.9097	0.7716	0.7242	0.5174
	5%	0.8951	0.7540	0.7015	0.4941
	10 %	0.8997	0.7490	0.7033	0.5031
	25 %	0.8966	0.7511	0.7087	0.5120
	50 %	0.8999	0.7566	0.7157	0.5160