U-Net: Convolutional Networks for Biomedical Image Segmentation
The U-Net is an encoder-decoder CNN that also has skip-connections, good for image segmentation at a per-pixel level.
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- 2026-10-10
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U-Net github.com
For Brain Tumor Segmentation
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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation arxiv.org
Merges the ideas of the U-Net and the DenseNet, this new neural network is especially good for huge datasets in image segmentation.
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Visualizing and Understanding Convolutional Networks arxiv.org
For the "deconvnet layer".
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TF-Unet github.com
General purpose U-Network implemented in Keras for image segmentation
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Smoothly Blend Image Patches github.com
Smooth patch merger for semantic segmentation with a U-Net.
Education › Papers > Convolutional Neural Networks: “The U-Net is an encoder-decoder CNN that also has skip-connections, good for image segmentation at a per-pixel level.”