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Advances, Systems and Applications

Table 6 Ablation experiments for MSD 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

0.9808

0.9735

0.9646

0.9735

0.9735

0.9483

0.9823

FE1-UT

0.9864

0.9819

0.9758

0.9819

0.9818

0.9644

0.9879

UNET

MBOBHE

0.9828

0.977

0.9693

0.977

0.977

0.955

0.9846

FE2-UT

0.9853

0.9798

0.9731

0.9798

0.9798

0.9604

0.986

UNET

MPHE

0.9842

0.978

0.9706

0.978

0.978

0.9569

0.9853

FE3-UT

0.9842

0.9785

0.9713

0.9785

0.9785

0.9578

0.9856