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机译:基于全局和局部模糊能量自适应组合的脑部MR图像分割
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China,College of Science, China Three Gorges University, Yichang 443002, China;
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China;
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China,School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China;
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China;
机译:基于全局和局部模糊能量自适应组合的脑部MR图像分割
机译:基于自适应非局部模糊c均值方法的脑磁共振图像分割
机译:一种新的模糊聚类算法,最大限度地减少噪声3D脑MR图像分割的全局和空间约束似乎基于似乎的基于似乎的局部熵
机译:使用基于全局和局部模糊能量的主动轮廓进行鲁棒图像分割
机译:通过基于动态局部阈值的分割方法对阿尔茨海默氏病患者的脑部MRI图像进行准确的体积测定
机译:使用自适应正则化基于核的模糊C均值聚类从磁共振图像中脑组织分割
机译:基于自适应均值漂移的模糊C均值聚类算法的脑图像分割