S3R: Shape and Semantics-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites.
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DOI: 10.1109/tmi.2023.3260974
Abstract: In clinical practice, it is desirable for medical image segmentation models to be able to continually learn on a sequential data stream from multiple sites, rather than a consolidated dataset, due to storage cost and… read more here.
Keywords: semantics; selective regularization; shape semantics; segmentation ... See more keywords