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Sparse diffusion models for multi-annotator medical image segmentation
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DOI：10.1016/j.knosys.2025.114783.png)
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Abstract
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• A Sparse Diffusion-based Segmentation method for multi-annotator medical images. • A Background-Adaptive Spatial Sparse (BASS) module to accelerate image segmentation. • Better segmentation results on five multi-annotator medical image datasets. • Significantly reduces inference time by 35 % to 57 % compared to the baseline model.
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