Table 4 Comparative analysis of HVU-ED segmenter model using dice score with literature models.

From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification

Model

Enhanced Tumor

Core Tumor

Whole Tumor

VGG-UNet34

0.818

0.864

0.887

UNet with Dense & Resnet35

0.766

0.815

0.901

TransBTS28

0.7857

0.817

0.9

HUT36

0.783

0.836

0.9

Swin UNet3D37

0.834

0.866

0.905

Swin UNetR38

0.853

0.876

0.927

DenseNet121-UNet39

0.892

0.943

0.959

HVU-ED

0.902

0.954

0.966

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