Table 2 SSIM and PCC comparison with different methods on each dataset.

Method	TUPAC-2016		MITOS-ATYPIA-14		ICIAR-BACH-2018		MICCAI-16-GlaS
Method	SSIM	PCC	SSIM	PCC	SSIM	PCC	SSIM	PCC
Macenko	0.524±0.001	0.773±0.001	0.769±0.003	0.891±0.002	0.866±0.001	0.951±0.002	0.798±0.007	0.944±0.003
Reinhard	0.492±0.001	0.752±0.001	0.772±0.001	0.885±0.001	0.871±0.001	0.967±0.001	0.936±0.002	0.980±0.002
Vahadane	0.508±0.001	0.750±0.001	0.793±0.001	0.909±0.001	0.905±0.001	0.973±0.001	0.951±0.001	0.983±0.001
StainGAN	0.833±0.013	0.912±0.020	0.844±0.012	0.924±0.006	0.923±0.009	0.961±0.005	0.897±0.034	0.964±0.013
SAASN	0.975±0.003	0.986±0.002	0.972±0.003	0.983±0.002	0.970±0.013	0.983±0.006	0.939±0.014	0.976±0.003
CAGAN	0.955±0.024	0.977±0.017	0.935±0.010	0.964±0.007	0.923±0.019	0.969±0.007	0.957±0.006	0.983±0.007
DSTGAN	0.985±0.001	0.992±0.001	0.984±0.002	0.991±0.001	0.984±0.003	0.992±0.001	0.975±0.003	0.990±0.001

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