Open access
Aug 2026
Mean-enabled Laplacian U-Net for efficient glioma sub-region segmentation in multimodal MRI
A deep learning-assisted, low-complexity architecture termed mean-enabled Laplacian U-Net (MELU-Net) is proposed for glioma sub-region segmentation, which improves boundary representation and feature consistency while maintaining lower computational complexity compared to attention-based and transformer-based models.
Sucharita Jena, Prajwal Mohapatra, J. Das et al.
· Engineering Research Express · 0 citations