U-Net is a convolutional neural network architecture designed specifically for biomedical image segmentation. It features a U-shaped structure that consists of a contracting path to capture context and a symmetric expanding path that enables precise localization. This design allows U-Net to perform well on small datasets, making it particularly useful in fields where labeled data is scarce.
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