FocusGate-Net: A dual-attention guided MLP-convolution hybrid network for accurate and efficient medical image segmentation
Fig 5
Qualitative comparison of segmentation outputs on ISIC2018.
The first row shows the original dermoscopic images. The second and third rows display segmentation results produced by UNet++ and ResUNet, respectively. The fourth row shows predictions by the proposed FocusGate-Net. Compared to the baselines, FocusGate-Net provides more precise boundary localization and better structure preservation across diverse lesion types.