SEU-Net
lastmod 2026-11-10created 2020-07-132 edits
SEU-Net is a semantic segmentation neural network based on the U-Net architecture. U-Net-family models compress features in the encoder and restore resolution in the decoder while passing fine details through skip connections, and they are widely used for segmentation problems with little training data, such as medical imaging. This page collects related material and links to pages on medical imaging deep learning frameworks such as MONAI.