Swin-UNETR models trained on a large multi-site DWI stroke dataset reach high Dice scores, and a new evaluation framework exposes anatomical, morphological, and noise-dependent performance variation.
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Generalizable automated ischaemic stroke lesion segmentation with vision transformers
Swin-UNETR models trained on a large multi-site DWI stroke dataset reach high Dice scores, and a new evaluation framework exposes anatomical, morphological, and noise-dependent performance variation.