Preprint2015
U-Net
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U-Net introduces a symmetric encoder-decoder architecture with skip connections for precise biomedical image segmentation.
0May 1, 2015
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
U-Net introduces a symmetric encoder-decoder architecture with skip connections for precise biomedical image segmentation.
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
U-NO extends U-Net architecture to neural operators for learning maps between infinite-dimensional function spaces.
Nahian Siddique, Sidike Paheding, Colin Elkin, et al.
A narrative literature review examining U-Net architecture developments, breakthroughs, and applications in medical image segmentation across multiple modalities.