Abstract: In biomedical imaging, nucleus segmentation is critical for understanding cellular structure and function. This work proposes a novel approach to nucleus segmentation that exploits an ...
Abstract: The Segment Anything Model (SAM) has recently demonstrated significant potential in medical image segmentation. Although SAM is primarily trained on 2D images, attempts have been made to ...
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