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MOIS-SAM2:基于范例的交互式分割模型,实现全身MRI中神经纤维瘤的多 ...
为解决神经纤维瘤病1型(NF1)患者全身MRI(WB-MRI)中数百个神经纤维瘤(NFs)手动分割耗时且现有交互式方法难以兼顾精度与可扩展性的难题,本研究提出了一种名为MOIS-SAM2的新型多目标交互式分割模型。该模型在Segment Anything Model 2(SAM2)的基础上,创新性地 ...
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