Table 19 Comparison of the proposed model’s performance with that of existing models.

From: A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans

Model

Accuracy

Precision

F1-score

Specificity

Sensitivity

NPV

MCC

FPR

FNR

CNN

0.9652

0.9551

0.9674

0.9566

0.9758

0.9768

0.9388

0.0483

0.0229

SVM

0.9688

0.9543

0.9661

0.9537

0.9782

0.9779

0.9362

0.0462

0.0267

KNN

0.9675

0.9573

0.9676

0.9569

0.9721

0.9785

0.9352

0.0405

0.0254

dResU-Net

0.9602

0.9624

0.9702

0.9623

0.9786

0.9781

0.9405

0.0376

0.0289

Proposed

0.9907

0.9854

0.9955

0.9879

0.9982

0.9985

0.9762

0.0159

0.0091

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