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Table 7 The objective evaluation scores about group 5 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

0.5338

0.6173

0.5345

0.6390

17.2110

0.3243

GFF

0.3500

0.5700

0.5854

0.6503

11.4905

0.3959

NSCT

0.5462

0.6766

0.5852

0.6610

17.2561

0.2981

LPSR

0.5702

0.7618

0.6424

0.6979

17.5615

0.3264

IGM

0.4685

0.7007

0.6266

0.6495

15.8747

0.3751

CNN

0.5328

0.7324

0.6194

0.6919

18.0280

0.2577

VSMWLS

0.5346

0.7416

0.6399

0.6773

16.9311

0.4165

LRD

0.4600

0.6851

0.6830

0.6243

13.7973

0.3925

Hahn-PCNN-CNN

0.5732

0.8464

0.6848

0.6994

18.0290

0.2560

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BMC Medical Imaging

ISSN: 1471-2342

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