BMC Medical Imaging

Table 3 The objective evaluation scores about group 1 fused images

From: Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis

Methods	Metrics
Methods	\(Q_{AB}^F\)	SSIM	VIF	FMI	SF	CE
DTCWT	0.5983	0.5995	0.5663	0.6014	18.3195	0.3081
GFF	0.6807	0.5716	0.6189	0.6606	18.9207	0.2167
NSCT	0.6217	0.6449	0.5828	0.6043	18.3654	0.3141
LPSR	0.5930	0.6291	0.5801	0.6321	17.6417	0.2455
IGM	0.6604	0.5764	0.6663	0.6382	18.9412	0.2191
CNN	0.6480	0.6541	0.5962	0.6455	17.8180	0.2376
VSMWLS	0.5564	0.5222	0.5818	0.6087	14.6674	0.2961
LRD	0.6567	0.5750	0.6498	0.6339	18.9175	0.2257
Hahn-PCNN-CNN	0.6838	0.7792	0.6671	0.6852	22.8255	0.1972

Back to article page

ISSN: 1471-2342

Contact us

General enquiries: journalsubmissions@springernature.com