LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance
Volumetric Medical Image Segmentation
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance
Volumetric Medical Image Segmentation
As a result of the rise of Transformer architectures in medical image analysis, specifically in the domain of medical image segmentation, a multitude of hybrid models have been created that merge the advantages of Convolutional Neural Networks (CNNs) and Transformers. These hybrid models have achieved notable success by significantly improving …