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Table 9 The objective evaluation scores about group 7 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

0.4743

0.4454

0.3624

0.5655

26.9326

0.3822

GFF

0.3679

0.4612

0.3108

0.6074

18.9252

0.3541

NSCT

0.5178

0.5147

0.3878

0.6229

27.4106

0.3529

LPSR

0.4999

0.5338

0.3964

0.6612

27.0963

0.2105

IGM

0.5383

0.6012

0.4251

0.6701

27.2623

0.2107

CNN

0.5220

0.5769

0.4085

0.6741

20.5773

0.1924

VSMWLS

0.4653

0.5358

0.4087

0.6226

25.9969

0.1941

LRD

0.4760

0.4782

0.4495

0.6126

22.1965

0.2633

Hahn-PCNN-CNN

0.5393

0.6065

0.4502

0.6762

28.7803

0.1904

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BMC Medical Imaging

ISSN: 1471-2342

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