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基于自适应重建驱动级联网络(ARCNet)的病理图像形变配准研究
【编辑推荐】针对肿瘤图像因组织缺失导致配准困难的挑战,研究人员创新性提出自适应重建驱动级联网络(ARCNet)。通过对称约束特征推理(SFR)模块重建肿瘤区域,结合扩张多感受野特征融合(DMFF)模块捕获长程特征,并采用自适应重要性感知引导(AIG)模块优化复杂 ...
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