UNet-Hub
This repository is established to facilitate the search for papers on UNet architecture. Note that this repository is incomplete and will be continuously updated. Supplementations are welcome.
UNet (2015)
U-Net: Convolutional Networks for Biomedical Image Segmentation (MICCAI 2015)
V-Net (2016)
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
3D U-Net (2016)
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
H-DenseUNet (2017)
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
UNet++ (2018)
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
MDU-Net (2018)
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
DUNet (2018)
DUNet: A deformable network for retinal vessel segmentation
RA-UNet (2018)
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Dense Multi-path U-Net (2018)
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Attention U-Net (2018)
Attention U-Net: Learning Where to Look for the Pancreas
R2U-Net (2018)
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
SENet (2018)
Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks
CE-Net
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Connection Sensitive Attention U-Net
Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation