U-Net

U-Net is a type of artificial intelligence model designed for image segmentation, which involves identifying and separating specific objects within an image. It works by analyzing an image at various levels of detail, capturing both the overall structure and fine details, enabling precise localization. The model has a "U" shape with a contracting path that extracts features and an expanding path that reconstructs the segmented areas. U-Net is widely used in medical imaging, such as identifying tumors or organs, because of its ability to produce detailed, accurate segmentation results even with limited training data.