A narrative review that classifies U-Net variants into four improvement mechanisms (skip connections, residual connections, 3D U-Net, transformers) and compiles reported segmentation scores across several medical imaging datasets.
In recent years, U-Net and variant network models have shown excellent performance in medical dataset segmentation
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A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
A narrative review that classifies U-Net variants into four improvement mechanisms (skip connections, residual connections, 3D U-Net, transformers) and compiles reported segmentation scores across several medical imaging datasets.