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Advances, Systems and Applications

Table 5 Ablation experiments for Brats dataset

From: Feature-enhanced fusion of U-NET-based improved brain tumor images segmentation

Model

Filter

Balanced Accuracy

F1 Score

Cohen's Kappa

Precision

Recall

Jaccard Index

ROC AUC

UNET

CLAHE

0.9890

0.9869

0.9826

0.9872

0.9867

0.9742

0.9912

FE1-UT

0.9966

0.9964

0.9952

0.9966

0.9962

0.9928

0.9975

UNET

MBOBHE

0.9967

0.9956

0.9942

0.9956

0.9956

0.9913

0.9971

FE2-UT

0.9449

0.9242

0.9006

0.9738

0.8794

0.8591

0.9358

UNET

MPHE

0.5544

0.2545

0.1873

1.0

0.1458

0.1458

0.5729

FE3-UT

0.5544

0.2545

0.2038

1.0

0.1458

0.1458

0.5729