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Table 10 The objective evaluation scores about group 8 fused images

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

Methods

Metrics

 

\(Q_{AB}^F\)

SSIM

VIF

FMI

SF

CE

DTCWT

0.4956

0.5142

0.4285

0.5815

27.7145

0.2668

GFF

0.3633

0.4777

0.3782

0.6199

18.9824

0.2818

NSCT

0.5272

0.5711

0.4690

0.6300

27.9576

0.2664

LPSR

0.5106

0.5851

0.4831

0.6650

27.5567

0.1360

IGM

0.5035

0.6061

0.5048

0.6880

26.8727

0.1503

CNN

0.5217

0.5854

0.4925

0.6882

28.3076

0.1276

VSMWLS

0.4620

0.5632

0.4911

0.6429

26.3168

0.1404

LRD

0.4724

0.5528

0.5356

0.6444

22.4599

0.1699

Hahn-PCNN-CNN

0.5292

0.6297

0.5370

0.6888

28.6091

0.1251

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BMC Medical Imaging

ISSN: 1471-2342

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