Abstract: Highly flexible foundation models like artificial neural networks are imperative in medical practice, enabling diverse tasks with little or no task-specific labeled data. The crucial problem ...

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Abstract: Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global ...