Model demonstrates high Dice scores for brain tumor segmentation in multimodal imaging, indicating practical clinical applications.
SAU-Net is a highly effective and computationally efficient model for BraTS. Its superior performance, as evidenced by the high Dice scores on two benchmark datasets, combined with its reduced computational requirements, underscores its potential for practical and impactful clinical applications.
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Talukder et al. (2026) studied this question.
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