Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
Affiliation:
2
0
4
GET achieves superior medical image segmentation accuracy while reducing model complexity, outperforming state-of-the-art methods with fewer trainable parameters.
MambaLiteUNet achieves state-of-the-art skin lesion segmentation with 93% fewer parameters and 97% fewer GFLOPs than U-Net, proving that efficient architectures can outperform traditional models in medical imaging.