MLRU++ reports small Dice gains over UNETR++ on three public benchmarks using a lighter attention module and multiscale depthwise blocks.
In: International workshop on predictive intelligence in medicine
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MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
MLRU++ reports small Dice gains over UNETR++ on three public benchmarks using a lighter attention module and multiscale depthwise blocks.