A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks

Table 3

Comparison of image quality using different loss functions and generator network structures.

Network	Loss function	FID	IS
UNet		57.6092	1.3405
		54.1733	1.4687
		56.1733	1.4687
		59.4684	1.4720
		58.1196	1.4720
		56.1639	1.4432
		54.1436	1.3928
		50.8299	1.4256
		52.4708	1.3865
		51.3790	1.3907
		55.2754	1.4852
		49.3387	1.4073
PFFN (ours)		54.8384	1.3835
		49.1167	1.3903
		49.6818	1.4124
		49.3575	1.3238
		47.0977	1.3505
		48.8730	1.2158