Summary of state of arts
01 Dec 2018The convNet for medical image segmentation
- DeepNAT(Wachinger et al., 2017)
- VoxResNAT(Chen et al., 2017)
- MeshNET (Fedorov et al., 2017)
- U-Net
Multi-atlas Segmentation
First, the n most similar atlases to the query image are selected and registered to the query image; Second, the same registration transformations are applied to the labels of the n atlases, and these labels are propagated to produce n segmentations of the query image; Finally the segmentations are combined using a fusion strategy.
- PICSL
- Freesurfer
Image Segmentation
- FCN