EUGIS uses evidential uncertainty estimates to guide point-prompt sampling in interactive segmentation, reporting state-of-the-art performance on three ultrasound datasets with a single click.
Cmu-net: a strong convmixer-based medical ultrasound image segmentation network,
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Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
EUGIS uses evidential uncertainty estimates to guide point-prompt sampling in interactive segmentation, reporting state-of-the-art performance on three ultrasound datasets with a single click.