BMC Medical Imaging

Table 8 The objective evaluation scores about group 6 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	0.5162	0.5854	0.4655	0.6069	18.7235	0.3018
GFF	0.5660	0.6326	0.4165	0.6917	19.0711	0.2555
NSCT	0.5340	0.6635	0.5234	0.6459	18.9222	0.2639
LPSR	0.5376	0.7405	0.5835	0.6782	19.0237	0.2111
IGM	0.4752	0.6564	0.5545	0.6460	17.1588	0.3222
CNN	0.5224	0.7132	0.5494	0.6745	20.2132	0.3133
VSMWLS	0.4662	0.6400	0.6091	0.6133	15.5493	0.3542
LRD	0.5128	0.6845	0.5666	0.6559	18.0514	0.3483
Hahn-PCNN-CNN	0.5671	0.7597	0.6209	0.6926	21.6100	0.1755

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ISSN: 1471-2342

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