The first validated open benchmark for future liver remnant segmentation is created from 197 refined CT volumes, with a cascaded nnU-Net achieving the highest Dice score of 0.767.
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Rotation-equivariant convolutions in deformable brain MRI registration networks deliver higher accuracy with fewer parameters, greater robustness to rotations, and better performance on limited training data.
citing papers explorer
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Benchmarking Deep Learning for Future Liver Remnant Segmentation in Colorectal Liver Metastasis
The first validated open benchmark for future liver remnant segmentation is created from 197 refined CT volumes, with a cascaded nnU-Net achieving the highest Dice score of 0.767.
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Rotation Equivariant Convolutions in Deformable Registration of Brain MRI
Rotation-equivariant convolutions in deformable brain MRI registration networks deliver higher accuracy with fewer parameters, greater robustness to rotations, and better performance on limited training data.