U-Net

Convolutional network for biomedical image segmentation:

• Encoder-decoder architecture with skip connections
• Originally designed for medical image segmentation
• Widely adopted in various image segmentation tasks beyond medical imaging
• Known for good performance with limited training data
• Numerous variations and improvements developed since its introduction

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