Table 7. Quantitative results of retinal layer segmentation after preprocessing with different methods of x2 SR.

Method	UNet		$\mathrm{{\rm Y}}$ -Net
	Mean Dice	mIoU	Mean Dice	mIoU
Bicubic	0.932	0.910	0.926	0.905
Wavelet+Bicubic	0.937	0.918	0.914	0.898
NLM+Bicubic	0.933	0.913	0.934	0.917
BM3D+Bicubic	0.933	0.914	0.937	0.916
EDSR	0.937	0.919	0.936	0.915
RCAN	0.932	0.911	0.934	0.909
HAN	0.934	0.915	0.931	0.908
IMDN	0.934	0.915	0.930	0.906
SAFMN	0.935	0.916	0.935	0.913
SwinIR	0.934	0.916	0.932	0.909
HAT	0.938	0.919	0.937	0.915
DAT	0.934	0.914	0.931	0.908
DLGSANet	0.933	0.915	0.936	0.914
PSCAT (ours)	0.939	0.921	0.941	0.921