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2022

Medical Image Segmentation Review: The success of U-Net

Azad, Reza, Aghdam, Ehsan Khodapanah, Rauland, Amelie et al.

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Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm.

U-Net is the most widespread image segmentation architecture due to its flexibility, optimized modular design, and success in all medical image modalities.
Over the years, the U-Net model achieved tremendous attention from academic and industrial researchers.
Several extensions of this network have been proposed to address the scale and complexity created by medical tasks.

Medical Image Segmentation Review: The success of U-Net · Around

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