RARE-UNet reports the highest average Dice across 1x to 1/8x resolutions on hippocampus and brain tumor MRI segmentation, with faster low-resolution inference.
In: Deep learning in medical image analysis and multimodal learning for clinical decision support: MICCAI Workshops on DLMIA and ML-CDS, Springer (2018) 3–11
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RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
RARE-UNet reports the highest average Dice across 1x to 1/8x resolutions on hippocampus and brain tumor MRI segmentation, with faster low-resolution inference.