Author

Mohammad Amanour Rahman

Ahsanullah University of Science and Technology

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Preprint Aug 2026

UCBound-Net: Uncertainty-Guided Boundary-Aware Continual Learning for Domain-Incremental Ultrasound Segmentation

UCBound-Net is introduced, a continual segmentation framework that exploits Monte Carlo (MC) Dropout uncertainty as a spatial proxy for forgetting risk and outperforms baseline methods without requiring task-boundary supervision.

Mohammad Amanour Rahman · 0 citations