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U-Net Variants in Medical Image Segmentation by akashsingh261915 is a document available to read on EtoBox.

What is U-Net Variants in Medical Image Segmentation about?

This review paper discusses the U-Net architecture, a widely used model for medical image segmentation, highlighting its flexibility and success across various medical imaging modalities. It categorizes over 100 U-Net variants into six groups based on enhancements to the original design, such as skip connections and backbone improvements, and provides a comprehensive evaluation of their performance. The authors also offer an implementation library with trained models to support further research in this area

Author

akashsingh261915

Language

EN