A Multifeature Extraction Method Using Deep Residual Network for MR Image Denoising

Table 1

SSIM comparison of different denoising algorithms.

Dataset	Algorithm	1%	4%	7%	10%	13%
TCGA-GBM	Ref. [14]	0.9903	0.9584	0.9153	0.8612	0.8109
	Ref. [20]	0.9901	0.9592	0.9276	0.8928	0.8529
	Ref. [26]	0.9918	0.9643	0.9374	0.9022	0.8657
	The proposed algorithm	0.9941	0.9668	0.9417	0.9152	0.8893
CH-GBM	Ref. [14]	0.9829	0.9622	0.9238	0.8874	0.8378
	Ref. [20]	0.9923	0.9637	0.9246	0.8984	0.8557
	Ref. [26]	0.9935	0.9626	0.9415	0.9043	0.8736
	The proposed algorithm	0.9978	0.9689	0.9426	0.9037	0.8809