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机译:3D多尺度FCN,随机模态体素辍学学习椎间盘定位和多种模式MR图像的分割
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Deakin Univ Inst Phys Act &
Nutr Res Burwood Vic Australia;
Charite Med Sch Berlin Germany;
Charite Med Sch Berlin Germany;
Univ Bern Inst Surg Technol &
Biomech Bern Switzerland;
Chinese Univ Hong Kong Dept Comp Sci &
Engn Hong Kong Hong Kong Peoples R China;
Multi-modality; Magnetic resonance imaging; Intervertebral discs; Localization; Segmentation; Deep learning; Dropout;
机译:3D多尺度FCN,随机模态体素辍学学习椎间盘定位和多种模式MR图像的分割
机译:基于多尺度滤波和统计模型的多模态血管造影图像血管分割方法
机译:基于FCN投票法的解剖结构分割3D CT图像截面观念深度学习
机译:椎间盘分割和多种模式MR图像的定位,具有2.5D多尺度全卷积网络和几何约束后处理
机译:3D图像中的对象定位,分割和分类
机译:基于多尺度滤波和统计模型的多模态血管造影图像血管分割方法
机译:具有多模式深度监控的多流3D FCN多模态 等信号婴儿脑mR图像分割