Fig. 5
From: Enhanced glioma semantic segmentation using U-net and pre-trained backbone U-net architectures
VGG-U-Net architecture for glioma segmentation. This figure illustrates the VGG-U-Net, a hybrid model that combines the VGG-16 backbone with the U-Net architecture. The VGG-16 serves as the encoder, extracting high-level features from glioma MRI scans. The U-Net decoder reconstructs the segmented glioma regions, preserving spatial information through skip connections. The final output layer produces precise tumor segmentations.
